Claude Opus 4.6 vs Kimi K2 Instruct
Claude Opus 4.6 leads the LLM Stats Score 44.7 to 21.9. Kimi K2 Instruct is 20.0x cheaper per token.
Anthropic · Moonshot AI · Updated for 2026
Which is better?
Claude Opus 4.6 leads the overall LLM Stats Score 44.7 to 21.9, ranking #37 overall.
In the 7 individual benchmarks reported for both models, Claude Opus 4.6 wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2 Instruct is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 4.6 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 4.6
- overall performance matters — it scores 44.7 and ranks #37 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 7 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Feb 2026
Choose Kimi K2 Instruct
- cost matters — it's about 20.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
27 reported for Claude Opus 4.6 · 38 for Kimi K2 Instruct
Claude Opus 4.6 outperforms in 6 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-bench Multilingual, Tau2 Retail, Tau2 Telecom), while Kimi K2 Instruct is better at 1 benchmark (LiveBench).
Claude Opus 4.6 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.6 ($5.00/1M tokens) is 10.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).
For output processing, Claude Opus 4.6 ($25.00/1M tokens) is 50.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).
In conclusion, Claude Opus 4.6 is more expensive than Kimi K2 Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 4.6 accepts 1,000,000 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Claude Opus 4.6 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Opus 4.6 supports multimodal inputs, whereas Kimi K2 Instruct does not.
Claude Opus 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 4.6
Kimi K2 Instruct
License
Usage and distribution terms
Claude Opus 4.6 is licensed under a proprietary license, while Kimi K2 Instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Opus 4.6 was released on 2026-02-05, while Kimi K2 Instruct was released on 2025-07-11.
Claude Opus 4.6 is 7 months newer than Kimi K2 Instruct.
Feb 5, 2026
7 months ago
6mo newerJul 11, 2025
1.2 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
Claude Opus 4.6 is available from Anthropic. Kimi K2 Instruct is available from Fireworks, Novita.
Claude Opus 4.6
Kimi K2 Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.6 and Kimi K2 Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.6 vs Kimi K2 Instruct.