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Kimi K2.7 Code vs Qwen3.7-Plus

Kimi K2.7 Code and Qwen3.7-Plus are closely matched at 39.4 and 42.6 on the LLM Stats Score. Qwen3.7-Plus is 2.4x cheaper per token.

Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Kimi K2.7 Code and Qwen3.7-Plus are closely matched on the overall LLM Stats Score at 39.4 and 42.6.

In the 3 individual benchmarks reported for both models, Kimi K2.7 Code wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3.7-Plus is roughly 2.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.7-Plus also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi K2.7 Code

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune

Choose Qwen3.7-Plus

  • cost matters — it's about 2.4x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window

At a glance

The differences that matter most.

Kimi K2.7 Code
Moonshot AI
Qwen3.7-Plus
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
39.4
#59
42.6
#46
Reasoning
34.3
#89
43.1
#43
Coding
30.7
#49
30.8
#48
Agents
27.0
#46
24.4
#53
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.68 / M
$0.32 / M
Output price
$3.40 / M
$1.28 / M
Context window
262,144
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2.7 Code
Qwen3.7-Plus
Tool use
24.0#40
23.0#44
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi K2.7 Code · 70 for Qwen3.7-Plus

3 shared

Kimi K2.7 Code outperforms in 3 benchmarks (FrontierCode 1.1, MCP Atlas, MCP-Mark), while Qwen3.7-Plus is better at 0 benchmarks.

Kimi K2.7 Code significantly outperforms across most benchmarks.

Thu Sep 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3.7-Plus costs less

For input processing, Kimi K2.7 Code ($0.68/1M tokens) is 2.1x more expensive than Qwen3.7-Plus ($0.32/1M tokens).

For output processing, Kimi K2.7 Code ($3.40/1M tokens) is 2.7x more expensive than Qwen3.7-Plus ($1.28/1M tokens).

In conclusion, Kimi K2.7 Code is more expensive than Qwen3.7-Plus.*

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

Lowest available price from all providers
Thu Sep 17 2026 • llm-stats.com
Moonshot AI
Kimi K2.7 Code
Input tokens$0.68
Output tokens$3.40
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3.7-Plus accepts 1,000,000 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Kimi K2.7 Code can generate longer responses up to 262,144 tokens, while Qwen3.7-Plus is limited to 65,536 tokens.

Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Thu Sep 17 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi K2.7 Code and Qwen3.7-Plus support multimodal inputs.

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

Kimi K2.7 Code

Text
Images
Audio
Video

Qwen3.7-Plus

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code is licensed under Modified MIT License, while Qwen3.7-Plus uses a proprietary license.

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

Kimi K2.7 Code

Modified MIT License

Open weights

Qwen3.7-Plus

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while Qwen3.7-Plus was released on 2026-05-31.

Kimi K2.7 Code is 0 month newer than Qwen3.7-Plus.

Kimi K2.7 Code

Jun 12, 2026

3 months ago

1w newer
Qwen3.7-Plus

May 31, 2026

3 months 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

Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Qwen3.7-Plus is available from Together, Fireworks.

Kimi K2.7 Code

deepinfra logo
Deepinfra
Input Price:Input: $0.68/1MOutput Price:Output: $3.40/1M
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

Qwen3.7-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M
fireworks logo
Fireworks
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Kimi K2.7 Code and Qwen3.7-Plus side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
Qwen3.7-Plus
Open in Playground

FAQ

Common questions about Kimi K2.7 Code vs Qwen3.7-Plus.

Which is better, Kimi K2.7 Code or Qwen3.7-Plus?

Kimi K2.7 Code and Qwen3.7-Plus are closely matched on the LLM Stats Score at 39.4 and 42.6. Kimi K2.7 Code is made by Moonshot AI and Qwen3.7-Plus is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K2.7 Code compare to Qwen3.7-Plus in benchmarks?

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%. Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%.

Is Kimi K2.7 Code cheaper than Qwen3.7-Plus?

Qwen3.7-Plus is 2.1x cheaper for input tokens. Kimi K2.7 Code costs $0.68/M input and $3.40/M output via deepinfra. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together.

What are the context window sizes for Kimi K2.7 Code and Qwen3.7-Plus?

Kimi K2.7 Code supports 262K tokens and Qwen3.7-Plus 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 Kimi K2.7 Code and Qwen3.7-Plus?

Key differences include LLM Stats Score (39.4 vs 42.6), context window (262K vs 1.0M), input pricing ($0.68 vs $0.32/M), licensing (Modified MIT License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.7 Code and Qwen3.7-Plus?

Kimi K2.7 Code is developed by Moonshot AI and Qwen3.7-Plus is developed by Alibaba Cloud / Qwen Team.

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