Claude 3.5 Sonnet
Proprietary CommercialDeveloped by Anthropic · Frontier Multimodal Transformer · Modalities: Text, Vision · Released 2024-06-20
What are the token costs and operational benchmarks for Claude 3.5 Sonnet?
Verified Capability Benchmarks
Composite Intelligence: 64.2/100Architectural & Production Profile
Proven enterprise workhorse for software engineering, visual chart extraction, and nuanced prose generation.
Legacy enterprise workflows, code review pipelines, and human-like content generation.
- Architecture
- Frontier Multimodal Transformer
- Modalities
- Text, Vision
- Max Output Tokens
- 8,192 tokens
- Blended Rate (3:1)
- $6.000 / 1M
Verified Cloud Inference Endpoints Hosting Claude 3.5 Sonnet
Compare latency, streaming speed, and token pricing across cloud API providers.
| Inference Provider | Role | Input / 1M | Output / 1M | Avg TTFT | Throughput |
|---|---|---|---|---|---|
| Anthropic Claude API → | Primary Host | $3.00 | $15.00 | 310ms | 80 tok/s |
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Estimated Monthly Spend
$3.00/1M in · $15.00/1M out
Prompt Cache: $0.300/1M read · $3.75/1M write
$2.00/1M in · $10.00/1M out
Prompt Cache: $0.100/1M read · $0.50/1M write
Head-to-Head Comparisons Involving Claude 3.5 Sonnet (36)
Claude 3.5 Sonnet vs GPT-4o
GPT-4o is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, GPT-4o delivers lower response latency at 280ms TTFT (30ms faster than Claude 3.5 Sonnet) with 100 vs. 80 tok/s throughput. Claude 3.5 Sonnet leads coding evaluations at 49.0% SWE-bench Verified vs. 48.0% for GPT-4o and 59.4% vs. 53.6% on GPQA Diamond.
Claude 3.5 Sonnet vs Gemini 4 Argon
Gemini 4 Argon is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (540ms faster than Gemini 4 Argon) with 80 vs. 115 tok/s throughput. Gemini 4 Argon leads coding evaluations at 84.5% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 93.8% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Claude 4.5 Sonnet
Claude 3.5 Sonnet and Claude 4.5 Sonnet match on base input pricing at $3.00/1M tokens ($15.00 vs. $15.00/1M output). For autonomous software engineering, Claude 4.5 Sonnet leads on SWE-bench Verified (75.8% vs. 49.0%), while Claude 4.5 Sonnet edges ahead on GPQA Diamond scientific reasoning (84.2%). In real-time API production, Claude 3.5 Sonnet achieves a faster 310ms TTFT latency (80.0 tokens/sec).
Claude 3.5 Sonnet vs Claude Opus 5.5
Claude 3.5 Sonnet is 25.0% cheaper for input tokens ($3.00 vs. $4.00 per 1M tokens) and $15.00 vs. $20.00 for output tokens (1.3x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (370ms faster than Claude Opus 5.5) with 80 vs. 95 tok/s throughput. Claude Opus 5.5 leads coding evaluations at 89.9% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 93.2% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Gemini 3.8 Flash
Gemini 3.8 Flash is 91.7% cheaper for input tokens ($0.25 vs. $3.00 per 1M tokens) and $1.50 vs. $15.00 for output tokens (12.0x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (205ms faster than Claude 3.5 Sonnet) with 210 vs. 80 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 79.2% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs GPT-5
GPT-5 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (30ms faster than GPT-5) with 80 vs. 105 tok/s throughput. GPT-5 leads coding evaluations at 74.9% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 85.4% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs GPT-6 Astra
Claude 3.5 Sonnet is 70.0% cheaper for input tokens ($3.00 vs. $10.00 per 1M tokens) and $15.00 vs. $50.00 for output tokens (3.3x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (430ms faster than GPT-6 Astra) with 80 vs. 74 tok/s throughput. GPT-6 Astra leads coding evaluations at 75.7% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 96.0% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs DeepSeek V4 Pro
DeepSeek V4 Pro is 56.0% cheaper for input tokens ($1.32 vs. $3.00 per 1M tokens) and $3.96 vs. $15.00 for output tokens (2.3x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (210ms faster than DeepSeek V4 Pro) with 80 vs. 78 tok/s throughput. DeepSeek V4 Pro leads coding evaluations at 80.6% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 90.1% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs DeepSeek R1
DeepSeek R1 is 81.7% cheaper for input tokens ($0.55 vs. $3.00 per 1M tokens) and $2.19 vs. $15.00 for output tokens (5.5x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (1140ms faster than DeepSeek R1) with 80 vs. 58 tok/s throughput. DeepSeek R1 leads coding evaluations at 49.2% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 71.5% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs DeepSeek V4 Flash Vision (Exp)
DeepSeek V4 Flash Vision (Exp) is 92.7% cheaper for input tokens ($0.22 vs. $3.00 per 1M tokens) and $0.65 vs. $15.00 for output tokens (13.6x cost advantage). In terms of operational performance, Both models demonstrate comparable response latency around 310ms TTFT (80 vs. 165 tok/s). DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 91.3% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs OpenAI o3
OpenAI o3 is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $8.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (840ms faster than OpenAI o3) with 80 vs. 82 tok/s throughput. OpenAI o3 leads coding evaluations at 71.7% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 87.7% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Claude 4 Opus
Claude 3.5 Sonnet is 80.0% cheaper for input tokens ($3.00 vs. $15.00 per 1M tokens) and $15.00 vs. $75.00 for output tokens (5.0x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (610ms faster than Claude 4 Opus) with 80 vs. 46 tok/s throughput. Claude 4 Opus leads coding evaluations at 77.2% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 87.1% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Claude 3.7 Sonnet
Claude 3.5 Sonnet and Claude 3.7 Sonnet share identical input pricing at $3.00 per 1M tokens ($15.00 vs. $15.00 output). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (230ms faster than Claude 3.7 Sonnet) with 80 vs. 72 tok/s throughput. Claude 3.7 Sonnet leads coding evaluations at 70.3% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 78.5% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Gemini 3.1 Pro
Gemini 3.1 Pro is 58.3% cheaper for input tokens ($1.25 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (2.4x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (110ms faster than Gemini 3.1 Pro) with 80 vs. 98 tok/s throughput. Gemini 3.1 Pro leads coding evaluations at 71.8% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 82.4% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Grok 4
Grok 4 is 16.7% cheaper for input tokens ($2.50 vs. $3.00 per 1M tokens) and $12.50 vs. $15.00 for output tokens (1.2x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (170ms faster than Grok 4) with 80 vs. 95 tok/s throughput. Grok 4 leads coding evaluations at 73.2% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 86.2% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Llama 4 Maverick
Llama 4 Maverick is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (175ms faster than Claude 3.5 Sonnet) with 175 vs. 80 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 73.8% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Qwen 3.8 Flash Next
Qwen 3.8 Flash Next is 94.7% cheaper for input tokens ($0.16 vs. $3.00 per 1M tokens) and $0.47 vs. $15.00 for output tokens (18.8x cost advantage). In terms of operational performance, Qwen 3.8 Flash Next delivers lower response latency at 280ms TTFT (30ms faster than Claude 3.5 Sonnet) with 185 vs. 80 tok/s throughput. Qwen 3.8 Flash Next leads coding evaluations at 81.0% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 91.7% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite is 97.5% cheaper for input tokens ($0.07 vs. $3.00 per 1M tokens) and $0.30 vs. $15.00 for output tokens (40.0x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (232ms faster than Claude 3.5 Sonnet) with 265 vs. 80 tok/s throughput. Gemini 3.5 Flash-Lite leads coding evaluations at 55.4% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 68.4% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs OpenAI o4-mini
OpenAI o4-mini is 63.3% cheaper for input tokens ($1.10 vs. $3.00 per 1M tokens) and $4.40 vs. $15.00 for output tokens (2.7x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (370ms faster than OpenAI o4-mini) with 80 vs. 125 tok/s throughput. OpenAI o4-mini leads coding evaluations at 68.1% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 81.4% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs DeepSeek V3
DeepSeek V3 is 95.3% cheaper for input tokens ($0.14 vs. $3.00 per 1M tokens) and $0.28 vs. $15.00 for output tokens (21.4x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (100ms faster than DeepSeek V3) with 80 vs. 78 tok/s throughput. Claude 3.5 Sonnet leads coding evaluations at 49.0% SWE-bench Verified vs. 42.0% for DeepSeek V3 and 59.4% vs. 59.1% on GPQA Diamond.
Claude 3.5 Sonnet vs Gemma 4 31B IT
Gemma 4 31B IT is 96.0% cheaper for input tokens ($0.12 vs. $3.00 per 1M tokens) and $0.36 vs. $15.00 for output tokens (25.0x cost advantage). In terms of operational performance, Gemma 4 31B IT delivers lower response latency at 115ms TTFT (195ms faster than Claude 3.5 Sonnet) with 155 vs. 80 tok/s throughput. Gemma 4 31B IT leads coding evaluations at 59.2% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 71.2% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs OpenAI o3-mini
OpenAI o3-mini is 63.3% cheaper for input tokens ($1.10 vs. $3.00 per 1M tokens) and $4.40 vs. $15.00 for output tokens (2.7x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (640ms faster than OpenAI o3-mini) with 80 vs. 98 tok/s throughput. OpenAI o3-mini leads coding evaluations at 49.3% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 79.7% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Claude 3.5 Haiku
Claude 3.5 Haiku is 73.3% cheaper for input tokens ($0.80 vs. $3.00 per 1M tokens) and $4.00 vs. $15.00 for output tokens (3.8x cost advantage). In terms of operational performance, Claude 3.5 Haiku delivers lower response latency at 190ms TTFT (120ms faster than Claude 3.5 Sonnet) with 130 vs. 80 tok/s throughput. Claude 3.5 Sonnet leads coding evaluations at 49.0% SWE-bench Verified vs. 40.6% for Claude 3.5 Haiku and 59.4% vs. 41.6% on GPQA Diamond.
Claude 3.5 Sonnet vs Gemini 2.0 Flash
Gemini 2.0 Flash is 96.7% cheaper for input tokens ($0.10 vs. $3.00 per 1M tokens) and $0.40 vs. $15.00 for output tokens (30.0x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (30ms faster than Claude 3.5 Sonnet) with 185 vs. 80 tok/s throughput. Gemini 2.0 Flash leads coding evaluations at 51.8% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 63.6% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Gemini 2.5 Flash
Gemini 2.5 Flash is 90.0% cheaper for input tokens ($0.30 vs. $3.00 per 1M tokens) and $2.50 vs. $15.00 for output tokens (10.0x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (200ms faster than Claude 3.5 Sonnet) with 180 vs. 80 tok/s throughput. Gemini 2.5 Flash leads coding evaluations at 58.0% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 70.5% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Gemini 2.5 Pro
Gemini 2.5 Pro is 58.3% cheaper for input tokens ($1.25 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (2.4x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (390ms faster than Gemini 2.5 Pro) with 80 vs. 80 tok/s throughput. Gemini 2.5 Pro leads coding evaluations at 63.8% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 74.0% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs GLM-5.3
GLM-5.3 is 88.3% cheaper for input tokens ($0.35 vs. $3.00 per 1M tokens) and $1.00 vs. $15.00 for output tokens (8.6x cost advantage). In terms of operational performance, GLM-5.3 delivers lower response latency at 160ms TTFT (150ms faster than Claude 3.5 Sonnet) with 120 vs. 80 tok/s throughput. GLM-5.3 leads coding evaluations at 56.0% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 67.0% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs GLM-5.3-Flash
GLM-5.3-Flash is 96.0% cheaper for input tokens ($0.12 vs. $3.00 per 1M tokens) and $0.40 vs. $15.00 for output tokens (25.0x cost advantage). In terms of operational performance, GLM-5.3-Flash delivers lower response latency at 90ms TTFT (220ms faster than Claude 3.5 Sonnet) with 175 vs. 80 tok/s throughput. GLM-5.3-Flash leads coding evaluations at 52.8% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 63.5% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs GPT-4o Mini
GPT-4o Mini is 95.0% cheaper for input tokens ($0.15 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (20.0x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (90ms faster than Claude 3.5 Sonnet) with 140 vs. 80 tok/s throughput. Claude 3.5 Sonnet leads coding evaluations at 49.0% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 59.4% vs. 40.2% on GPQA Diamond.
Claude 3.5 Sonnet vs GPT-6.1 Sol
GPT-6.1 Sol is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $10.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (210ms faster than GPT-6.1 Sol) with 80 vs. 135 tok/s throughput. GPT-6.1 Sol leads coding evaluations at 86.4% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 92.4% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Grok 3
Claude 3.5 Sonnet and Grok 3 share identical input pricing at $3.00 per 1M tokens ($15.00 vs. $15.00 output). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (310ms faster than Grok 3) with 80 vs. 88 tok/s throughput. Grok 3 leads coding evaluations at 65.8% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 84.6% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Grok 3 Mini
Grok 3 Mini is 90.0% cheaper for input tokens ($0.30 vs. $3.00 per 1M tokens) and $1.20 vs. $15.00 for output tokens (10.0x cost advantage). In terms of operational performance, Grok 3 Mini delivers lower response latency at 150ms TTFT (160ms faster than Claude 3.5 Sonnet) with 160 vs. 80 tok/s throughput. Grok 3 Mini leads coding evaluations at 54.0% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 68.0% vs. 59.4% on GPQA Diamond.
Claude 3.5 Sonnet vs Llama 3.3 70B Instruct
Llama 3.3 70B Instruct is 96.0% cheaper for input tokens ($0.12 vs. $3.00 per 1M tokens) and $0.30 vs. $15.00 for output tokens (25.0x cost advantage). In terms of operational performance, Llama 3.3 70B Instruct delivers lower response latency at 145ms TTFT (165ms faster than Claude 3.5 Sonnet) with 165 vs. 80 tok/s throughput. Claude 3.5 Sonnet leads coding evaluations at 49.0% SWE-bench Verified vs. 42.5% for Llama 3.3 70B Instruct and 59.4% vs. 55.6% on GPQA Diamond.
Claude 3.5 Sonnet vs Mistral Large 2 (2411)
Mistral Large 2 (2411) is 33.3% cheaper for input tokens ($2.00 vs. $3.00 per 1M tokens) and $6.00 vs. $15.00 for output tokens (1.5x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (70ms faster than Mistral Large 2 (2411)) with 80 vs. 75 tok/s throughput. Claude 3.5 Sonnet leads coding evaluations at 49.0% SWE-bench Verified vs. 45.2% for Mistral Large 2 (2411) and 59.4% vs. 54.2% on GPQA Diamond.
Claude 3.5 Sonnet vs o1
Claude 3.5 Sonnet is 80.0% cheaper for input tokens ($3.00 vs. $15.00 per 1M tokens) and $15.00 vs. $60.00 for output tokens (5.0x cost advantage). In terms of operational performance, Claude 3.5 Sonnet delivers lower response latency at 310ms TTFT (2290ms faster than o1) with 80 vs. 48 tok/s throughput. Claude 3.5 Sonnet leads coding evaluations at 49.0% SWE-bench Verified vs. 48.9% for o1 and 59.4% vs. 78.0% on GPQA Diamond.
Claude 3.5 Sonnet vs Qwen 3.8 27B
Qwen 3.8 27B is 93.3% cheaper for input tokens ($0.20 vs. $3.00 per 1M tokens) and $0.60 vs. $15.00 for output tokens (15.0x cost advantage). In terms of operational performance, Qwen 3.8 27B delivers lower response latency at 120ms TTFT (190ms faster than Claude 3.5 Sonnet) with 140 vs. 80 tok/s throughput. Qwen 3.8 27B leads coding evaluations at 58.4% SWE-bench Verified vs. 49.0% for Claude 3.5 Sonnet and 68.0% vs. 59.4% on GPQA Diamond.
Frequently Asked Questions & Query Fan-Out
How much does Claude 3.5 Sonnet cost per 1M tokens including prompt caching?
Claude 3.5 Sonnet costs $3.00 per million input tokens and $15.00 per million output tokens. Cached input reads cost $0.300 per 1M tokens, reducing repeated context costs by 90%.
What are Claude 3.5 Sonnet's coding and reasoning benchmark scores?
Claude 3.5 Sonnet achieves 49% on SWE-bench Verified, 92% on HumanEval coding, 59.4% on GPQA Diamond graduate-level science, 78% on MMLU-Pro, and 78.3% on MATH-500, earning an overall Inference Value Ratio (IVR) of 46.2/100.
What is the context window, TTFT latency, and token throughput of Claude 3.5 Sonnet?
Claude 3.5 Sonnet supports a 204,800 token context window (8,192 max output tokens) and operates at 310ms average Time to First Token (TTFT) with 80 tokens/sec output streaming throughput.
What are the primary production use cases for Claude 3.5 Sonnet?
Legacy enterprise workflows, code review pipelines, and human-like content generation.