Model Comparison

Kimi K2-Thinking-0905 vs Qwen3.5-122B-A10BWhich is better in 2026?

Kimi K2-Thinking-0905 has a slight edge in benchmark performance. Kimi K2-Thinking-0905 is 1.3x cheaper per token.

Verdict: Kimi K2-Thinking-0905 vs Qwen3.5-122B-A10B — which is better?

Kimi K2-Thinking-0905 (by Moonshot AI) and Qwen3.5-122B-A10B (by Alibaba Cloud / Qwen Team) 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.

Kimi K2-Thinking-0905 outperforms in 6 benchmarks (HMMT 2025, Humanity's Last Exam, LiveCodeBench v6, MMLU-Redux, OJBench, Seal-0), while Qwen3.5-122B-A10B is better at 5 benchmarks (BrowseComp, BrowseComp-zh, GPQA, MMLU-Pro, SWE-Bench Verified). Kimi K2-Thinking-0905 has a slight edge in benchmark performance.

On price, Kimi K2-Thinking-0905 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Kimi K2-Thinking-0905 if…

  • you want the strongest raw capability — it leads on 6 of 11 shared benchmarks
  • cost matters — it's about 1.3x cheaper per token

Choose Qwen3.5-122B-A10B if…

  • you want the most recent training data — it shipped Feb 2026

Performance Benchmarks

Comparative analysis across standard metrics

11 benchmarks

Kimi K2-Thinking-0905 outperforms in 6 benchmarks (HMMT 2025, Humanity's Last Exam, LiveCodeBench v6, MMLU-Redux, OJBench, Seal-0), while Qwen3.5-122B-A10B is better at 5 benchmarks (BrowseComp, BrowseComp-zh, GPQA, MMLU-Pro, SWE-Bench Verified).

Kimi K2-Thinking-0905 has a slight edge in benchmark performance.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2-Thinking-0905 costs less

For input processing, Kimi K2-Thinking-0905 ($0.47/1M tokens) is 1.2x more expensive than Qwen3.5-122B-A10B ($0.40/1M tokens).

For output processing, Kimi K2-Thinking-0905 ($2.00/1M tokens) is 1.6x cheaper than Qwen3.5-122B-A10B ($3.20/1M tokens).

In conclusion, Qwen3.5-122B-A10B is more expensive than Kimi K2-Thinking-0905.*

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

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.5-122B-A10B
Input tokens$0.40
Output tokens$3.20
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

878.0B diff

Kimi K2-Thinking-0905 has 878.0B more parameters than Qwen3.5-122B-A10B, making it 719.7% larger.

Moonshot AI
Kimi K2-Thinking-0905
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3.5-122B-A10B
122.0Bparameters
1000.0B
Kimi K2-Thinking-0905
122.0B
Qwen3.5-122B-A10B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while Qwen3.5-122B-A10B is limited to 64,000 tokens.

Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-122B-A10B
Input262,144 tokens
Output64,000 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-122B-A10B supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.

Qwen3.5-122B-A10B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2-Thinking-0905

Text
Images
Audio
Video

Qwen3.5-122B-A10B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2-Thinking-0905 is licensed under MIT, while Qwen3.5-122B-A10B uses Apache 2.0.

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

Kimi K2-Thinking-0905

MIT

Open weights

Qwen3.5-122B-A10B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2-Thinking-0905 was released on 2025-09-05, while Qwen3.5-122B-A10B was released on 2026-02-24.

Qwen3.5-122B-A10B is 6 months newer than Kimi K2-Thinking-0905.

Kimi K2-Thinking-0905

Sep 5, 2025

10 months ago

Qwen3.5-122B-A10B

Feb 24, 2026

5 months ago

5mo 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-Thinking-0905 is available from DeepInfra, Novita, Fireworks. Qwen3.5-122B-A10B is available from Novita.

Kimi K2-Thinking-0905

deepinfra logo
Deepinfra
Input Price:Input: $0.47/1MOutput Price:Output: $2.00/1M
novita logo
Novita
Input Price:Input: $0.48/1MOutput Price:Output: $2.00/1M
fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Qwen3.5-122B-A10B

novita logo
Novita
Input Price:Input: $0.40/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Moonshot AI
Less expensive output tokens
Higher HMMT 2025 score (97.5% vs 91.4%)
Higher Humanity's Last Exam score (51.0% vs 47.5%)
Higher LiveCodeBench v6 score (83.1% vs 78.9%)
Higher MMLU-Redux score (94.4% vs 94.0%)
Higher OJBench score (48.7% vs 39.5%)
Higher Seal-0 score (56.3% vs 44.1%)
Alibaba Cloud / Qwen Team

Qwen3.5-122B-A10B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Less expensive input tokens
Higher BrowseComp score (63.8% vs 60.2%)
Higher BrowseComp-zh score (69.9% vs 62.3%)
Higher GPQA score (86.6% vs 84.5%)
Higher MMLU-Pro score (86.7% vs 84.6%)
Higher SWE-Bench Verified score (72.0% vs 71.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Kimi K2-Thinking-0905 and Qwen3.5-122B-A10B side-by-side, then vote on the output you prefer.

Kimi K2-Thinking-0905
✓ Preferred
Qwen3.5-122B-A10B
Open in Playground
AI Model Comparison Table
Feature
Moonshot AI
Kimi K2-Thinking-0905
Alibaba Cloud / Qwen Team
Qwen3.5-122B-A10B

FAQ

Common questions about Kimi K2-Thinking-0905 vs Qwen3.5-122B-A10B.

Which is better, Kimi K2-Thinking-0905 or Qwen3.5-122B-A10B?

Kimi K2-Thinking-0905 has a slight edge in benchmark performance. Kimi K2-Thinking-0905 is made by Moonshot AI and Qwen3.5-122B-A10B 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-Thinking-0905 compare to Qwen3.5-122B-A10B in benchmarks?

Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%. Qwen3.5-122B-A10B scores CountBench: 97.0%, VLMsAreBlind: 96.7%, MMLU-Redux: 94.0%, IFEval: 93.4%, AI2D: 93.3%.

Is Kimi K2-Thinking-0905 cheaper than Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B is 1.2x cheaper for input tokens. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra. Qwen3.5-122B-A10B costs $0.40/M input and $3.20/M output via novita.

What are the context window sizes for Kimi K2-Thinking-0905 and Qwen3.5-122B-A10B?

Kimi K2-Thinking-0905 supports 262K tokens and Qwen3.5-122B-A10B 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-Thinking-0905 and Qwen3.5-122B-A10B?

Key differences include input pricing ($0.47 vs $0.40/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2-Thinking-0905 and Qwen3.5-122B-A10B?

Kimi K2-Thinking-0905 is developed by Moonshot AI and Qwen3.5-122B-A10B is developed by Alibaba Cloud / Qwen Team.

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