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DeepSeek

DeepSeek V4 Flash

VS
Mistral AI

Mistral Medium 3.5

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, DeepSeek V4 Flash is the premium intelligence choice, scoring 49.1% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mistral Medium 3.5 is 1.0x cheaper to run and delivers 1.6x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Mistral Medium 3.5 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of DeepSeek V4 Flash fully justifies the cost.

Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
49.1%
Reasoning (gpqa-diamond)Winner (+)
80%

Cost & Performance

Cost (per 1M tokens)
$0.17Input: $0.14 | Output: $0.28
Speed
109.1 tps
Context WindowLarger
1M tokens
Model Specs

Mistral Medium 3.5

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed1.6x faster
180 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 Medium 3.5 is faster than DeepSeek V4 Flash. Mistral Medium 3.5 generates 180 tokens per second (tps) compared to DeepSeek V4 Flash which generates 109.1 tokens per second.

DeepSeek V4 Flash is better for coding tasks. It scores 49.1% on coding evaluations (swe-bench-pro) compared to Mistral Medium 3.5 which scores N/A.

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