Model Comparison

Kimi K2 Instruct vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Kimi K2 Instruct is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

12 benchmarks

Kimi K2 Instruct outperforms in 2 benchmarks (IFEval, Tau2 Telecom), while Qwen3-235B-A22B-Thinking-2507 is better at 10 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMLU-Redux, OJBench, SuperGPQA, Tau2 Airline, Tau2 Retail).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2 Instruct costs less

For input processing, Kimi K2 Instruct ($0.50/1M tokens) is 1.7x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Kimi K2 Instruct ($0.50/1M tokens) is 6.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Kimi K2 Instruct.*

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

Lowest available price from all providers

Fri May 08 2026 • llm-stats.com

Kimi K2 Instruct

Input tokens$0.50

Output tokens$0.50

Best providerFireworks

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

765.0B diff

Kimi K2 Instruct has 765.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 325.5% larger.

Kimi K2 Instruct

1.0Tparameters

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

1000.0B

Kimi K2 Instruct

235.0B

Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Qwen3-235B-A22B-Thinking-2507 is limited to 131,072 tokens.

Kimi K2 Instruct

Input200,000 tokens

Output200,000 tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Fri May 08 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 Instruct is licensed under MIT, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

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

Kimi K2 Instruct

MIT

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 Instruct was released on 2025-07-11, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 0 month newer than Kimi K2 Instruct.

Kimi K2 Instruct

Jul 11, 2025

10 months ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

2w 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

Kimi K2 Instruct is available from Fireworks, Novita. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Kimi K2 Instruct

Fireworks

Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M

Novita

Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M

Qwen3-235B-A22B-Thinking-2507

Fireworks

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Kimi K2 Instruct

View details

Moonshot AI

Less expensive output tokens

Higher IFEval score (89.8% vs 87.8%)

Higher Tau2 Telecom score (65.8% vs 45.6%)

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Higher AIME 2025 score (92.3% vs 49.5%)

Higher GPQA score (81.1% vs 75.1%)

Higher Humanity's Last Exam score (18.2% vs 4.7%)

Higher LiveCodeBench v6 score (74.1% vs 53.7%)

Higher MMLU-Pro score (84.4% vs 81.1%)

Higher MMLU-Redux score (93.8% vs 92.7%)

Higher OJBench score (32.5% vs 27.1%)

Higher SuperGPQA score (64.9% vs 57.2%)

Higher Tau2 Airline score (58.0% vs 56.5%)

Higher Tau2 Retail score (71.9% vs 70.6%)

Detailed Comparison

AI Model Comparison Table
Feature	Kimi K2 Instruct	Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Kimi K2 Instruct vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Kimi K2 Instruct or Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Kimi K2 Instruct is made by Moonshot AI and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi K2 Instruct compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

Is Kimi K2 Instruct cheaper than Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 is 1.7x cheaper for input tokens. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.

What are the context window sizes for Kimi K2 Instruct and Qwen3-235B-A22B-Thinking-2507?

Kimi K2 Instruct supports 200K tokens and Qwen3-235B-A22B-Thinking-2507 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 Kimi K2 Instruct and Qwen3-235B-A22B-Thinking-2507?

Key differences include context window (200K vs 262K), input pricing ($0.50 vs $0.30/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 Instruct and Qwen3-235B-A22B-Thinking-2507?

Kimi K2 Instruct is developed by Moonshot AI and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.