Model Comparison

Devstral Small 1.1 vs Kimi K2 InstructWhich is better in 2026?

Comparing Devstral Small 1.1 and Kimi K2 Instruct across benchmarks, pricing, and capabilities.

Verdict: Devstral Small 1.1 vs Kimi K2 Instruct — which is better?

Devstral Small 1.1 (by Mistral AI) and Kimi K2 Instruct (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, Devstral Small 1.1 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K2 Instruct also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Devstral Small 1.1 if…

  • cost matters — it's about 3.3x cheaper per token

Choose Kimi K2 Instruct if…

  • you process long inputs — it offers a 200,000 token context window

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and Kimi K2 Instructdon'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

Devstral Small 1.1 costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 5.0x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 1.7x cheaper than Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Kimi K2 Instruct is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

976.0B diff

Kimi K2 Instruct has 976.0B more parameters than Devstral Small 1.1, making it 4066.7% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Moonshot AI
Kimi K2 Instruct
1.0Tparameters
24.0B
Devstral Small 1.1
1000.0B
Kimi K2 Instruct

Context Window

Maximum input and output token capacity

Kimi K2 Instruct accepts 200,000 input tokens compared to Devstral Small 1.1's 128,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Sat Jul 18 2026 • llm-stats.com

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while Kimi K2 Instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Devstral Small 1.1

Apache 2.0

Open weights

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-07-11.

They likely represent similar generations of model development.

Devstral Small 1.1

Jul 11, 2025

1.0 years ago

Kimi K2 Instruct

Jul 11, 2025

1.0 years ago

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

Devstral Small 1.1 is available from Mistral AI. Kimi K2 Instruct is available from Fireworks, Novita.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Less expensive input tokens
Less expensive output tokens
Moonshot AI
Larger context window (200,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Devstral Small 1.1 and Kimi K2 Instruct side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
Kimi K2 Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
Moonshot AI
Kimi K2 Instruct

FAQ

Common questions about Devstral Small 1.1 vs Kimi K2 Instruct.

Which is better, Devstral Small 1.1 or Kimi K2 Instruct?

Devstral Small 1.1 (Mistral AI) and Kimi K2 Instruct (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 Devstral Small 1.1 compare to Kimi K2 Instruct in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.

Is Devstral Small 1.1 cheaper than Kimi K2 Instruct?

Devstral Small 1.1 is 5.0x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks.

What are the context window sizes for Devstral Small 1.1 and Kimi K2 Instruct?

Devstral Small 1.1 supports 128K tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Devstral Small 1.1 and Kimi K2 Instruct?

Key differences include context window (128K vs 200K), input pricing ($0.10 vs $0.50/M), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and Kimi K2 Instruct?

Devstral Small 1.1 is developed by Mistral AI and Kimi K2 Instruct is developed by Moonshot AI.

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