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DeepSeek

DeepSeek V4 Pro

VS
Mistral AI

Mistral Large 3

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, DeepSeek V4 Pro is the premium intelligence choice, scoring 52.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mistral Large 3 is 1.0x cheaper to run and delivers 5.5x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mistral Large 3 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of DeepSeek V4 Pro fully justifies the cost.

Model Specs

DeepSeek V4 Pro

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
52.1%
Reasoning (gpqa-diamond)Winner (+2.5%)
88%

Cost & Performance

Cost (per 1M tokens)
$2.17Input: $1.74 | Output: $3.48
Speed
39.7 tps
Context WindowLarger
1M tokens
Model Specs

Mistral Large 3

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
85.5%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed5.5x faster
220 tps
Context Window
262.14k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Mistral Large 3 is faster than DeepSeek V4 Pro. Mistral Large 3 generates 220 tokens per second (tps) compared to DeepSeek V4 Pro which generates 39.7 tokens per second.

DeepSeek V4 Pro is better for coding tasks. It scores 52.1% on coding evaluations (swe-bench-pro) compared to Mistral Large 3 which scores N/A.

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