💰 Unit Cost Winner Llama 3.3 70B Instruct
$0.12/1M in · $0.30/1M out
⚡ Latency & Speed Winner Gemini 2.5 Flash 110ms TTFT · 180 tok/s
💻 Coding (SWE) Winner Gemini 2.5 Flash 58% SWE-bench · 91.5% HumanEval
🧠 STEM Reasoning Winner Gemini 2.5 Flash 70.5% GPQA · 89% MATH-500
Which model is better: Gemini 2.5 Flash or Llama 3.3 70B Instruct? Llama 3.3 70B Instruct is 60.0% cheaper for input tokens ($0.12 vs. $0.30 per 1M tokens) and $0.30 vs. $2.50 for output tokens (2.5x cost advantage). In terms of operational performance, Gemini 2.5 Flash delivers lower response latency at 110ms TTFT (35ms faster than Llama 3.3 70B Instruct) with 180 vs. 165 tok/s throughput. Gemini 2.5 Flash leads coding evaluations at 58.0% SWE-bench Verified vs. 42.5% for Llama 3.3 70B Instruct and 70.5% vs. 55.6% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension Gemini 2.5 Flash Llama 3.3 70B Instruct Net Delta / Advantage
Input Cost / 1M Tokens
$0.30
$0.12 Llama 3.3 70B Instruct is 2.5x cheaper
Output Cost / 1M Tokens
$2.50
$0.30 Llama 3.3 70B Instruct (88.0% lower)
Prompt Cache Read / 1M
$0.030
$0.030 Identical Cache Read Pricing
Prompt Cache Write / 1M
$0.30
$0.12 Llama 3.3 70B Instruct is 2.5x cheaper
Context Window (Max Output)
1,049k (66k out) 131k (33k out) Gemini 2.5 Flash (8.0x larger context)
Avg TTFT Response Latency
110ms
145ms
Gemini 2.5 Flash (35ms faster)
Generation Speed (Throughput)
180 tok/s
165 tok/s
Gemini 2.5 Flash (+15 tok/s faster)
SWE-bench Verified (Coding)
58% 42.5% Gemini 2.5 Flash (+15.5% lead)
GPQA Diamond (PhD STEM)
70.5% 55.6% Gemini 2.5 Flash (+14.9% lead)
MMLU-Pro (Multi-Discipline)
82% 76.8% Gemini 2.5 Flash (+5.2% lead)
MATH-500 (Quantitative Logic)
89% 77% Gemini 2.5 Flash (+12.0% lead) Inference Value Score (IVR) 66.6 / 100 74.6 / 100 Llama 3.3 70B Instruct (+8 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Coding Agent
Enterprise RAG
High-Scale API
Model A (Baseline)
Qwen 3.8 Flash Next ($0.16/1M in · $0.47/1M out)
DeepSeek V4 Flash Vision (Exp) ($0.22/1M in · $0.65/1M out)
Gemini 3.5 Flash-Lite ($0.07/1M in · $0.30/1M out)
Gemma 4 31B IT ($0.12/1M in · $0.36/1M out)
Gemini 2.0 Flash ($0.10/1M in · $0.40/1M out)
Llama 4 Maverick ($0.20/1M in · $0.60/1M out)
GLM-5.3-Flash ($0.12/1M in · $0.40/1M out)
DeepSeek V3 ($0.14/1M in · $0.28/1M out)
Qwen 3.8 27B ($0.20/1M in · $0.60/1M out)
Llama 3.3 70B Instruct ($0.12/1M in · $0.30/1M out)
Gemini 3.8 Flash ($0.25/1M in · $1.50/1M out)
GLM-5.3 ($0.35/1M in · $1.00/1M out)
Grok 3 Mini ($0.30/1M in · $1.20/1M out)
GPT-4o Mini ($0.15/1M in · $0.60/1M out)
DeepSeek V4 Pro ($1.32/1M in · $3.96/1M out)
Gemini 2.5 Flash ($0.30/1M in · $2.50/1M out)
DeepSeek R1 ($0.55/1M in · $2.19/1M out)
OpenAI o4-mini ($1.10/1M in · $4.40/1M out)
GPT-6.1 Sol ($2.00/1M in · $10.00/1M out)
Gemini 4 Argon ($2.00/1M in · $10.00/1M out)
OpenAI o3 ($2.00/1M in · $8.00/1M out)
Gemini 3.1 Pro ($1.25/1M in · $10.00/1M out)
OpenAI o3-mini ($1.10/1M in · $4.40/1M out)
GPT-5 ($2.50/1M in · $10.00/1M out)
Claude Opus 5.5 ($4.00/1M in · $20.00/1M out)
Grok 4 ($2.50/1M in · $12.50/1M out)
Gemini 2.5 Pro ($1.25/1M in · $10.00/1M out)
Claude 4.5 Sonnet ($3.00/1M in · $15.00/1M out)
Claude 3.7 Sonnet ($3.00/1M in · $15.00/1M out)
Grok 3 ($3.00/1M in · $15.00/1M out)
Claude 3.5 Haiku ($0.80/1M in · $4.00/1M out)
Mistral Large 2 (2411) ($2.00/1M in · $6.00/1M out)
GPT-4o ($2.50/1M in · $10.00/1M out)
GPT-6 Astra ($10.00/1M in · $50.00/1M out)
Claude 3.5 Sonnet ($3.00/1M in · $15.00/1M out)
Claude 4 Opus ($15.00/1M in · $75.00/1M out)
o1 ($15.00/1M in · $60.00/1M out)
Model B (Challenger)
Qwen 3.8 Flash Next ($0.16/1M in · $0.47/1M out)
DeepSeek V4 Flash Vision (Exp) ($0.22/1M in · $0.65/1M out)
Gemini 3.5 Flash-Lite ($0.07/1M in · $0.30/1M out)
Gemma 4 31B IT ($0.12/1M in · $0.36/1M out)
Gemini 2.0 Flash ($0.10/1M in · $0.40/1M out)
Llama 4 Maverick ($0.20/1M in · $0.60/1M out)
GLM-5.3-Flash ($0.12/1M in · $0.40/1M out)
DeepSeek V3 ($0.14/1M in · $0.28/1M out)
Qwen 3.8 27B ($0.20/1M in · $0.60/1M out)
Llama 3.3 70B Instruct ($0.12/1M in · $0.30/1M out)
Gemini 3.8 Flash ($0.25/1M in · $1.50/1M out)
GLM-5.3 ($0.35/1M in · $1.00/1M out)
Grok 3 Mini ($0.30/1M in · $1.20/1M out)
GPT-4o Mini ($0.15/1M in · $0.60/1M out)
DeepSeek V4 Pro ($1.32/1M in · $3.96/1M out)
Gemini 2.5 Flash ($0.30/1M in · $2.50/1M out)
DeepSeek R1 ($0.55/1M in · $2.19/1M out)
OpenAI o4-mini ($1.10/1M in · $4.40/1M out)
GPT-6.1 Sol ($2.00/1M in · $10.00/1M out)
Gemini 4 Argon ($2.00/1M in · $10.00/1M out)
OpenAI o3 ($2.00/1M in · $8.00/1M out)
Gemini 3.1 Pro ($1.25/1M in · $10.00/1M out)
OpenAI o3-mini ($1.10/1M in · $4.40/1M out)
GPT-5 ($2.50/1M in · $10.00/1M out)
Claude Opus 5.5 ($4.00/1M in · $20.00/1M out)
Grok 4 ($2.50/1M in · $12.50/1M out)
Gemini 2.5 Pro ($1.25/1M in · $10.00/1M out)
Claude 4.5 Sonnet ($3.00/1M in · $15.00/1M out)
Claude 3.7 Sonnet ($3.00/1M in · $15.00/1M out)
Grok 3 ($3.00/1M in · $15.00/1M out)
Claude 3.5 Haiku ($0.80/1M in · $4.00/1M out)
Mistral Large 2 (2411) ($2.00/1M in · $6.00/1M out)
GPT-4o ($2.50/1M in · $10.00/1M out)
GPT-6 Astra ($10.00/1M in · $50.00/1M out)
Claude 3.5 Sonnet ($3.00/1M in · $15.00/1M out)
Claude 4 Opus ($15.00/1M in · $75.00/1M out)
o1 ($15.00/1M in · $60.00/1M out)
Estimated Monthly Spend Gemini 2.5 Flash $16.63
$0.30/1M in · $2.50/1M out
Prompt Cache: $0.030/1M read · $0.30/1M write
Llama 3.3 70B Instruct $3.38
$0.12/1M in · $0.30/1M out
Prompt Cache: $0.030/1M read · $0.12/1M write
A
When to Choose Gemini 2.5 Flash Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M cached reads).
B
When to Choose Llama 3.3 70B Instruct Choose Llama 3.3 70B Instruct (Meta) for cost-optimized on-premise deployments, fast text transformation, structured entity extraction, and enterprise dialogue pipelines — offering a 131k context window, 145ms TTFT, and $0.12/1M input pricing ($0.030/1M cached reads).
Related Questions & Decision Factors Which is cheaper: Gemini 2.5 Flash or Llama 3.3 70B Instruct? Llama 3.3 70B Instruct is cheaper at $0.12/1M input tokens ($0.30/1M output) compared to $0.30/1M input ($2.50/1M output) for Gemini 2.5 Flash.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.5 Flash or Llama 3.3 70B Instruct? Gemini 2.5 Flash delivers faster first-token latency at 110ms TTFT (180 tok/s throughput) compared to 145ms TTFT (165 tok/s) for Llama 3.3 70B Instruct.
How do Gemini 2.5 Flash and Llama 3.3 70B Instruct compare on SWE-bench coding and GPQA Diamond reasoning? On SWE-bench Verified software engineering, Gemini 2.5 Flash scores 58% versus 42.5% for Llama 3.3 70B Instruct. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.5 Flash scores 70.5% versus 55.6% for Llama 3.3 70B Instruct (and 89% vs 77% on MATH-500).
When should you choose Gemini 2.5 Flash? Choose Gemini 2.5 Flash (Google) for cost-efficient 1M-context summarization, multimodal extraction, and interactive assistants — offering a 1,048k context window, 110ms TTFT, and $0.30/1M input pricing ($0.030/1M cached reads).
When should you choose Llama 3.3 70B Instruct? Choose Llama 3.3 70B Instruct (Meta) for cost-optimized on-premise deployments, fast text transformation, structured entity extraction, and enterprise dialogue pipelines — offering a 131k context window, 145ms TTFT, and $0.12/1M input pricing ($0.030/1M cached reads).
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