Model Comparison

MiniMax M2.7 vs Kimi K2.7 CodeWhich is better in 2026?

Comparing MiniMax M2.7 and Kimi K2.7 Code across benchmarks, pricing, and capabilities.

Verdict: MiniMax M2.7 vs Kimi K2.7 Code — which is better?

MiniMax M2.7 (by MiniMax) 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, MiniMax M2.7 is roughly 2.7x 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 MiniMax M2.7 if…

  • cost matters — it's about 2.7x cheaper per token

Choose Kimi K2.7 Code if…

  • 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

MiniMax M2.7 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

MiniMax M2.7 costs less

For input processing, MiniMax M2.7 ($0.30/1M tokens) is 2.5x cheaper than Kimi K2.7 Code ($0.74/1M tokens).

For output processing, MiniMax M2.7 ($1.20/1M tokens) is 2.9x cheaper than Kimi K2.7 Code ($3.50/1M tokens).

In conclusion, Kimi K2.7 Code is more expensive than MiniMax M2.7.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
MiniMax
MiniMax M2.7
Input tokens$0.30
Output tokens$1.20
Best providerFireworks
Moonshot AI
Kimi K2.7 Code
Input tokens$0.74
Output tokens$3.50
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Kimi K2.7 Code accepts 262,144 input tokens compared to MiniMax M2.7's 196,608 tokens. MiniMax M2.7 can generate longer responses up to 196,608 tokens, while Kimi K2.7 Code is limited to 131,072 tokens.

MiniMax
MiniMax M2.7
Input196,608 tokens
Output196,608 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

Kimi K2.7 Code supports multimodal inputs, whereas MiniMax M2.7 does not.

Kimi K2.7 Code can handle both text and other forms of data like images, making it suitable for multimodal applications.

MiniMax M2.7

Text
Images
Audio
Video

Kimi K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

MiniMax M2.7 is licensed under MIT, while Kimi K2.7 Code uses Modified MIT License.

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

MiniMax M2.7

MIT

Open weights

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

MiniMax M2.7 was released on 2026-03-18, while Kimi K2.7 Code was released on 2026-06-12.

Kimi K2.7 Code is 3 months newer than MiniMax M2.7.

MiniMax M2.7

Mar 18, 2026

4 months ago

Kimi K2.7 Code

Jun 12, 2026

1 months 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

MiniMax M2.7 is available from Fireworks, MiniMax, Novita. Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.

MiniMax M2.7

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
minimax logo
MiniMax
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

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

MiniMax
Less expensive input tokens
Less expensive output tokens
Moonshot AI
Larger context window (262,144 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against MiniMax M2.7 and Kimi K2.7 Code side-by-side, then vote on the output you prefer.

MiniMax M2.7
✓ Preferred
Kimi K2.7 Code
Open in Playground
AI Model Comparison Table
Feature
MiniMax
MiniMax M2.7
Moonshot AI
Kimi K2.7 Code

FAQ

Common questions about MiniMax M2.7 vs Kimi K2.7 Code.

Which is better, MiniMax M2.7 or Kimi K2.7 Code?

MiniMax M2.7 (MiniMax) 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 MiniMax M2.7 compare to Kimi K2.7 Code in benchmarks?

MiniMax M2.7 scores SWE-bench Multilingual: 76.5%, MLE-Bench Lite: 66.6%, MM-ClawBench: 62.7%, Terminal-Bench 2.0: 57.0%, SWE-Bench Pro: 56.2%. 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 MiniMax M2.7 cheaper than Kimi K2.7 Code?

MiniMax M2.7 is 2.5x cheaper for input tokens. MiniMax M2.7 costs $0.30/M input and $1.20/M output via fireworks. Kimi K2.7 Code costs $0.74/M input and $3.50/M output via deepinfra.

What are the context window sizes for MiniMax M2.7 and Kimi K2.7 Code?

MiniMax M2.7 supports 197K 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 MiniMax M2.7 and Kimi K2.7 Code?

Key differences include context window (197K vs 262K), input pricing ($0.30 vs $0.74/M), multimodal support (no vs yes), licensing (MIT vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes MiniMax M2.7 and Kimi K2.7 Code?

MiniMax M2.7 is developed by MiniMax and Kimi K2.7 Code is developed by Moonshot AI.

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