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Mistral AI

Mistral Medium 3.5

VS
Moonshot AI (Kimi)

kimi-k2.6

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, kimi-k2.6 is the premium intelligence choice, scoring 58.6% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Mistral Medium 3.5 is 1.0x cheaper to run. 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 kimi-k2.6 fully justifies the cost.

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
Speed
180 tps
Context Window
262.14k tokens
Model Specs

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
58.6%
Reasoning (gpqa-diamond)Winner (+)
90.5%

Cost & Performance

Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00
Speed1.1x faster
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

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

kimi-k2.6 is faster than Mistral Medium 3.5. kimi-k2.6 generates 193 tokens per second (tps) compared to Mistral Medium 3.5 which generates 180 tokens per second.

kimi-k2.6 is better for coding tasks. It scores 58.6% on coding evaluations (swe-bench-pro) compared to Mistral Medium 3.5 which scores N/A.

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