Model Comparison

Kimi K2 0905 vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Instruct-2507 is 3.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Kimi K2 0905 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).

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

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Instruct-2507 costs less

For input processing, Kimi K2 0905 ($0.60/1M tokens) is 4.0x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, Kimi K2 0905 ($2.50/1M tokens) is 3.1x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than Qwen3-235B-A22B-Instruct-2507.*

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

Lowest available price from all providers

Sat May 30 2026 • llm-stats.com

Kimi K2 0905

Input tokens$0.60

Output tokens$2.50

Best providerNovita

Qwen3-235B-A22B-Instruct-2507

Input tokens$0.15

Output tokens$0.80

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

765.0B diff

Kimi K2 0905 has 765.0B more parameters than Qwen3-235B-A22B-Instruct-2507, making it 325.5% larger.

Kimi K2 0905

1.0Tparameters

Qwen3-235B-A22B-Instruct-2507

235.0Bparameters

1000.0B

Kimi K2 0905

235.0B

Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Qwen3-235B-A22B-Instruct-2507 is limited to 131,072 tokens.

Kimi K2 0905

Input262,144 tokens

Output262,144 tokens

Qwen3-235B-A22B-Instruct-2507

Input262,144 tokens

Output131,072 tokens

Sat May 30 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

Kimi K2 0905

Proprietary

Closed source

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Kimi K2 0905 is 2 months newer than Qwen3-235B-A22B-Instruct-2507.

Kimi K2 0905

Sep 5, 2025

8 months ago

1mo newer

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

10 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 0905 is available from Novita. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.

Kimi K2 0905

Novita

Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Qwen3-235B-A22B-Instruct-2507

Fireworks

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Kimi K2 0905

View details

Moonshot AI

No standout differentiators in the data we have for this pair.

Qwen3-235B-A22B-Instruct-2507

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher GPQA score (77.5% vs 75.8%)

Higher MMLU-Pro score (83.0% vs 82.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Kimi K2 0905	Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Kimi K2 0905 vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Kimi K2 0905 or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Kimi K2 0905 is made by Moonshot AI and Qwen3-235B-A22B-Instruct-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 0905 compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

Is Kimi K2 0905 cheaper than Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 is 4.0x cheaper for input tokens. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.

What are the context window sizes for Kimi K2 0905 and Qwen3-235B-A22B-Instruct-2507?

Kimi K2 0905 supports 262K tokens and Qwen3-235B-A22B-Instruct-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 0905 and Qwen3-235B-A22B-Instruct-2507?

Key differences include input pricing ($0.60 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 0905 and Qwen3-235B-A22B-Instruct-2507?

Kimi K2 0905 is developed by Moonshot AI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.