Model Comparison
Kimi K2 Instruct vs Qwen3 235B A22BWhich is better in 2026?
Kimi K2 Instruct shows notably better performance in the majority of benchmarks. Qwen3 235B A22B is 5.0x cheaper per token.
Verdict: Kimi K2 Instruct vs Qwen3 235B A22B — which is better?
Kimi K2 Instruct (by Moonshot AI) and Qwen3 235B A22B (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 Instruct outperforms in 7 benchmarks (GPQA, GSM8k, MMLU, MMLU-Pro, MMLU-Redux, MultiPL-E, SuperGPQA), while Qwen3 235B A22B is better at 3 benchmarks (AIME 2024, AIME 2025, LiveBench). Kimi K2 Instruct shows notably better performance in the majority of benchmarks.
On price, Qwen3 235B A22B is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2 Instruct also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2 Instruct if…
- you want the strongest raw capability — it leads on 7 of 10 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
- you want the most recent training data — it shipped Jul 2025
Choose Qwen3 235B A22B if…
- cost matters — it's about 5.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2 Instruct outperforms in 7 benchmarks (GPQA, GSM8k, MMLU, MMLU-Pro, MMLU-Redux, MultiPL-E, SuperGPQA), while Qwen3 235B A22B is better at 3 benchmarks (AIME 2024, AIME 2025, LiveBench).
Kimi K2 Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2 Instruct ($0.50/1M tokens) is 5.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
For output processing, Kimi K2 Instruct ($0.50/1M tokens) is 5.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, Kimi K2 Instruct is more expensive than Qwen3 235B A22B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 Instruct has 765.0B more parameters than Qwen3 235B A22B, making it 325.5% larger.
Context Window
Maximum input and output token capacity
Kimi K2 Instruct accepts 200,000 input tokens compared to Qwen3 235B A22B's 128,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.
License
Usage and distribution terms
Kimi K2 Instruct is licensed under MIT, while Qwen3 235B A22B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
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 was released on 2025-04-29.
Kimi K2 Instruct is 2 months newer than Qwen3 235B A22B.
Jul 11, 2025
11 months ago
2mo newerApr 29, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Kimi K2 Instruct is available from Fireworks, Novita. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
Kimi K2 Instruct
Qwen3 235B A22B
Outputs Comparison
Key Takeaways
Kimi K2 Instruct
View detailsMoonshot AI
Qwen3 235B A22B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Kimi K2 Instruct vs Qwen3 235B A22B.