Model Comparison

Mistral Medium 3.5 vs Kimi K3Which is better in 2026?

Kimi K3 significantly outperforms across most benchmarks. Mistral Medium 3.5 is 2.0x cheaper per token.

Verdict: Mistral Medium 3.5 vs Kimi K3 — which is better?

Mistral Medium 3.5 (by Mistral AI) and Kimi K3 (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.

Mistral Medium 3.5 outperforms in 0 benchmarks, while Kimi K3 is better at 2 benchmarks (BrowseComp, GDPval-AA). Kimi K3 significantly outperforms across most benchmarks.

On price, Mistral Medium 3.5 is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Mistral Medium 3.5 if…

  • cost matters — it's about 2.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Kimi K3 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Medium 3.5 outperforms in 0 benchmarks, while Kimi K3 is better at 2 benchmarks (BrowseComp, GDPval-AA).

Kimi K3 significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Medium 3.5 costs less

For input processing, Mistral Medium 3.5 ($1.50/1M tokens) is 2.0x cheaper than Kimi K3 ($3.00/1M tokens).

For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 2.0x cheaper than Kimi K3 ($15.00/1M tokens).

In conclusion, Kimi K3 is more expensive than Mistral Medium 3.5.*

* 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 K3
Input tokens$3.00
Output tokens$15.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

2672.0B diff

Kimi K3 has 2672.0B more parameters than Mistral Medium 3.5, making it 2087.5% larger.

Mistral AI
Mistral Medium 3.5
128.0Bparameters
Moonshot AI
Kimi K3
2.8Tparameters
128.0B
Mistral Medium 3.5
2800.0B
Kimi K3

Context Window

Maximum input and output token capacity

Kimi K3 accepts 1,048,576 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Mistral Medium 3.5 is limited to 256,000 tokens.

Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Medium 3.5 and Kimi K3 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 K3

Text
Images
Audio
Video

Release Timeline

When each model was launched

Mistral Medium 3.5 was released on 2026-04-29, while Kimi K3 was released on 2026-07-16.

Kimi K3 is 3 months newer than Mistral Medium 3.5.

Mistral Medium 3.5

Apr 29, 2026

2 months ago

Kimi K3

Jul 16, 2026

1 days ago

2mo 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 K3 is available from Moonshot AI.

Mistral Medium 3.5

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

Kimi K3

moonshot logo
Unknown Organization
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Larger context window (1,048,576 tokens)
Higher BrowseComp score (91.2% vs 48.6%)
Higher GDPval-AA score (55.6% vs 30.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Medium 3.5 and Kimi K3 side-by-side, then vote on the output you prefer.

Mistral Medium 3.5
✓ Preferred
Kimi K3
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Medium 3.5
Moonshot AI
Kimi K3

FAQ

Common questions about Mistral Medium 3.5 vs Kimi K3.

Which is better, Mistral Medium 3.5 or Kimi K3?

Kimi K3 significantly outperforms across most benchmarks. Mistral Medium 3.5 is made by Mistral AI and Kimi K3 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Medium 3.5 compare to Kimi K3 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 K3 scores MathVision: 97.8%, DeepSearchQA: 95.0%, GPQA: 93.5%, CharXiv-R: 91.3%, BrowseComp: 91.2%.

Is Mistral Medium 3.5 cheaper than Kimi K3?

Mistral Medium 3.5 is 2.0x cheaper for input tokens. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral. Kimi K3 costs $3.00/M input and $15.00/M output via moonshot.

What are the context window sizes for Mistral Medium 3.5 and Kimi K3?

Mistral Medium 3.5 supports 256K tokens and Kimi K3 supports 1.0M 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 K3?

Key differences include context window (256K vs 1.0M), input pricing ($1.50 vs $3.00/M), licensing (Modified MIT License vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Medium 3.5 and Kimi K3?

Mistral Medium 3.5 is developed by Mistral AI and Kimi K3 is developed by Moonshot AI.