Model Comparison

Mistral Medium 3.5 vs Kimi K2.7 CodeWhich is better in 2026?

Comparing Mistral Medium 3.5 and Kimi K2.7 Code across benchmarks, pricing, and capabilities.

Verdict: Mistral Medium 3.5 vs Kimi K2.7 Code — which is better?

Mistral Medium 3.5 (by Mistral AI) and Kimi K2.7 Code (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Kimi K2.7 Code is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K2.7 Code also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Mistral Medium 3.5 if…

  • you want predictable pricing at $1.50/M input and $7.50/M output

Choose Kimi K2.7 Code if…

  • cost matters — it's about 2.1x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Jun 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Medium 3.5 and Kimi K2.7 Codedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.7 Code costs less

For input processing, Mistral Medium 3.5 ($1.50/1M tokens) is 2.0x more expensive than Kimi K2.7 Code ($0.74/1M tokens).

For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 2.1x more expensive than Kimi K2.7 Code ($3.50/1M tokens).

In conclusion, Mistral Medium 3.5 is more expensive than Kimi K2.7 Code.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Moonshot AI
Kimi K2.7 Code
Input tokens$0.74
Output tokens$3.50
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

872.0B diff

Kimi K2.7 Code has 872.0B more parameters than Mistral Medium 3.5, making it 681.3% larger.

Mistral AI
Mistral Medium 3.5
128.0Bparameters
Moonshot AI
Kimi K2.7 Code
1.0Tparameters
128.0B
Mistral Medium 3.5
1000.0B
Kimi K2.7 Code

Context Window

Maximum input and output token capacity

Kimi K2.7 Code accepts 262,144 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while Kimi K2.7 Code is limited to 131,072 tokens.

Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Medium 3.5 and Kimi K2.7 Code support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Medium 3.5

Text
Images
Audio
Video

Kimi K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Modified MIT License.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Medium 3.5

Modified MIT License

Open weights

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

Mistral Medium 3.5 was released on 2026-04-29, while Kimi K2.7 Code was released on 2026-06-12.

Kimi K2.7 Code is 1 month newer than Mistral Medium 3.5.

Mistral Medium 3.5

Apr 29, 2026

2 months ago

Kimi K2.7 Code

Jun 12, 2026

1 months ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mistral Medium 3.5 is available from Mistral AI. Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.

Mistral Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

Kimi K2.7 Code

deepinfra logo
Deepinfra
Input Price:Input: $0.74/1MOutput Price:Output: $3.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
novita logo
Novita
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
together logo
Together
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI

No standout differentiators in the data we have for this pair.

Moonshot AI
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Medium 3.5 and Kimi K2.7 Code side-by-side, then vote on the output you prefer.

Mistral Medium 3.5
✓ Preferred
Kimi K2.7 Code
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Medium 3.5
Moonshot AI
Kimi K2.7 Code

FAQ

Common questions about Mistral Medium 3.5 vs Kimi K2.7 Code.

Which is better, Mistral Medium 3.5 or Kimi K2.7 Code?

Mistral Medium 3.5 (Mistral AI) and Kimi K2.7 Code (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Mistral Medium 3.5 compare to Kimi K2.7 Code in benchmarks?

Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%. Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%.

Is Mistral Medium 3.5 cheaper than Kimi K2.7 Code?

Kimi K2.7 Code is 2.0x cheaper for input tokens. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral. Kimi K2.7 Code costs $0.74/M input and $3.50/M output via deepinfra.

What are the context window sizes for Mistral Medium 3.5 and Kimi K2.7 Code?

Mistral Medium 3.5 supports 256K tokens and Kimi K2.7 Code supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Medium 3.5 and Kimi K2.7 Code?

Key differences include context window (256K vs 262K), input pricing ($1.50 vs $0.74/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Medium 3.5 and Kimi K2.7 Code?

Mistral Medium 3.5 is developed by Mistral AI and Kimi K2.7 Code is developed by Moonshot AI.

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