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Kimi K2 Base vs Qwen2.5 32B Instruct

Kimi K2 Base leads the LLM Stats Score 13.6 to 7.8.

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

Which is better?

Kimi K2 Base leads the overall LLM Stats Score 13.6 to 7.8, ranking #242 overall.

In the 5 individual benchmarks reported for both models, Qwen2.5 32B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose Kimi K2 Base

  • overall performance matters — it scores 13.6 and ranks #242 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2025

Choose Qwen2.5 32B Instruct

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results

At a glance

The differences that matter most.

Core performance indexes
13.6
#242
7.8
#282
12.7
#240
7.2
#281
10.6
#161
9.4
#170
Cost, coverage & limits
Benchmark wins
2 of 5
3 of 5
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Kimi K2 Base
Qwen2.5 32B Instruct
14.3#218
16.4#205
16.3#113
9.3#150
16.3#95
9.1#134
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Kimi K2 Base · 18 for Qwen2.5 32B Instruct

5 shared

Kimi K2 Base outperforms in 2 benchmarks (MMLU, MMLU-Pro), while Qwen2.5 32B Instruct is better at 3 benchmarks (GPQA, GSM8k, MATH).

Qwen2.5 32B Instruct has a slight edge in benchmark performance.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

967.5B diff

Kimi K2 Base has 967.5B more parameters than Qwen2.5 32B Instruct, making it 2976.9% larger.

Moonshot AI
Kimi K2 Base
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
1000.0B
Kimi K2 Base
32.5B
Qwen2.5 32B Instruct

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while Qwen2.5 32B Instruct uses Apache 2.0.

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

Kimi K2 Base

MIT

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while Qwen2.5 32B Instruct was released on 2024-09-19.

Kimi K2 Base is 10 months newer than Qwen2.5 32B Instruct.

Kimi K2 Base

Jul 11, 2025

1.2 years ago

9mo newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.0 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Kimi K2 Base and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

Kimi K2 Base
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about Kimi K2 Base vs Qwen2.5 32B Instruct.

Which is better, Kimi K2 Base or Qwen2.5 32B Instruct?

Kimi K2 Base leads the LLM Stats Score 13.6 to 7.8. Kimi K2 Base is made by Moonshot AI and Qwen2.5 32B Instruct 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 Base compare to Qwen2.5 32B Instruct in benchmarks?

Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the main differences between Kimi K2 Base and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (13.6 vs 7.8), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Base and Qwen2.5 32B Instruct?

Kimi K2 Base is developed by Moonshot AI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.