💰 Unit Cost Winner DeepSeek V4 Flash Vision (Exp)
$0.22/1M in · $0.65/1M out
⚡ Latency & Speed Winner DeepSeek V4 Flash Vision (Exp) 310ms TTFT · 165 tok/s
💻 Coding (SWE) Winner DeepSeek V4 Flash Vision (Exp) 77.4% SWE-bench · 94.5% HumanEval
🧠 STEM Reasoning Winner DeepSeek V4 Flash Vision (Exp) 91.3% GPQA · 96.4% MATH-500
Which model is better: DeepSeek V4 Flash Vision (Exp) or OpenAI o4-mini? DeepSeek V4 Flash Vision (Exp) is 80.0% cheaper for input tokens ($0.22 vs. $1.10 per 1M tokens) and $0.65 vs. $4.40 for output tokens (5.0x cost advantage). In terms of operational performance, DeepSeek V4 Flash Vision (Exp) delivers lower response latency at 310ms TTFT (370ms faster than OpenAI o4-mini) with 165 vs. 125 tok/s throughput. DeepSeek V4 Flash Vision (Exp) leads coding evaluations at 77.4% SWE-bench Verified vs. 68.1% for OpenAI o4-mini and 91.3% vs. 81.4% 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 DeepSeek V4 Flash Vision (Exp) OpenAI o4-mini Net Delta / Advantage
Input Cost / 1M Tokens
$0.22
$1.10 DeepSeek V4 Flash Vision (Exp) is 5.0x cheaper
Output Cost / 1M Tokens
$0.65
$4.40 DeepSeek V4 Flash Vision (Exp) (85.2% lower)
Prompt Cache Read / 1M
$0.007
$0.275 DeepSeek V4 Flash Vision (Exp) is 39.9x cheaper
Prompt Cache Write / 1M
$0.22
$1.10 DeepSeek V4 Flash Vision (Exp) is 5.0x cheaper
Context Window (Max Output)
1,049k (128k out) 205k (100k out) DeepSeek V4 Flash Vision (Exp) (5.1x larger context)
Avg TTFT Response Latency
310ms
680ms
DeepSeek V4 Flash Vision (Exp) (370ms faster)
Generation Speed (Throughput)
165 tok/s
125 tok/s
DeepSeek V4 Flash Vision (Exp) (+40 tok/s faster)
SWE-bench Verified (Coding)
77.4% 68.1% DeepSeek V4 Flash Vision (Exp) (+9.3% lead)
GPQA Diamond (PhD STEM)
91.3% 81.4% DeepSeek V4 Flash Vision (Exp) (+9.9% lead)
MMLU-Pro (Multi-Discipline)
87.3% 85.6% DeepSeek V4 Flash Vision (Exp) (+1.7% lead)
MATH-500 (Quantitative Logic)
96.4% 97.8% OpenAI o4-mini (+1.4% lead) Inference Value Score (IVR) 81.6 / 100 63.7 / 100 DeepSeek V4 Flash Vision (Exp) (+17.9 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 DeepSeek V4 Flash Vision (Exp) $6.09
$0.22/1M in · $0.65/1M out
Prompt Cache: $0.007/1M read · $0.22/1M write
OpenAI o4-mini $39.19
$1.10/1M in · $4.40/1M out
Prompt Cache: $0.275/1M read · $1.10/1M write
A
When to Choose DeepSeek V4 Flash Vision (Exp) Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).
B
When to Choose OpenAI o4-mini Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
Related Questions & Decision Factors Which is cheaper: DeepSeek V4 Flash Vision (Exp) or OpenAI o4-mini? DeepSeek V4 Flash Vision (Exp) is cheaper at $0.22/1M input tokens ($0.65/1M output) compared to $1.10/1M input ($4.40/1M output) for OpenAI o4-mini.
Which model has lower TTFT latency and higher tok/s throughput: DeepSeek V4 Flash Vision (Exp) or OpenAI o4-mini? DeepSeek V4 Flash Vision (Exp) delivers faster first-token latency at 310ms TTFT (165 tok/s throughput) compared to 680ms TTFT (125 tok/s) for OpenAI o4-mini.
How do DeepSeek V4 Flash Vision (Exp) and OpenAI o4-mini compare on SWE-bench coding and GPQA Diamond reasoning? On SWE-bench Verified software engineering, DeepSeek V4 Flash Vision (Exp) scores 77.4% versus 68.1% for OpenAI o4-mini. On GPQA Diamond graduate-level STEM reasoning, DeepSeek V4 Flash Vision (Exp) scores 91.3% versus 81.4% for OpenAI o4-mini (and 96.4% vs 97.8% on MATH-500).
When should you choose DeepSeek V4 Flash Vision (Exp)? Choose DeepSeek V4 Flash Vision (Exp) (DeepSeek) for ultra-low-cost open-weight multimodal MoE built for high-throughput visual document OCR, chart interpretation, and real-time autonomous coding agents — offering a 1,048k context window, 310ms TTFT, and $0.22/1M input pricing ($0.007/1M cached reads).
When should you choose OpenAI o4-mini? Choose OpenAI o4-mini (OpenAI) for automated PR review, high-volume agentic coding loops, SQL/data analysis, and visual document reasoning — offering a 204k context window, 680ms TTFT, and $1.10/1M input pricing ($0.275/1M cached reads).
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