Claude Opus 4.7 vs Kimi K3.1 Pro
Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 43.3. Kimi K3.1 Pro is 2.5x cheaper per token.
Anthropic · Moonshot AI · Updated for 2026
Which is better?
Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 43.3, ranking #5 overall.
The models split the 4 individual benchmarks reported for both models evenly.
On price, Kimi K3.1 Pro is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3.1 Pro also accepts a larger context window (1,048,576 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 4.7
- you want predictable pricing at $5.00/M input and $25.00/M output
Choose Kimi K3.1 Pro
- overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 2.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
17 reported for Claude Opus 4.7 · 30 for Kimi K3.1 Pro
Claude Opus 4.7 outperforms in 2 benchmarks (CharXiv-R, Humanity's Last Exam), while Kimi K3.1 Pro is better at 1 benchmark (BrowseComp).
Claude Opus 4.7 has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.7 ($5.00/1M tokens) is 2.5x more expensive than Kimi K3.1 Pro ($2.00/1M tokens).
For output processing, Claude Opus 4.7 ($25.00/1M tokens) is 2.5x more expensive than Kimi K3.1 Pro ($10.00/1M tokens).
In conclusion, Claude Opus 4.7 is more expensive than Kimi K3.1 Pro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K3.1 Pro accepts 1,048,576 input tokens compared to Claude Opus 4.7's 1,000,000 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while Claude Opus 4.7 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Opus 4.7 and Kimi K3.1 Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.7
Kimi K3.1 Pro
Release Timeline
When each model was launched
Claude Opus 4.7 was released on 2026-04-16, while Kimi K3.1 Pro was released on 2026-10-23.
Kimi K3.1 Pro is 6 months newer than Claude Opus 4.7.
Apr 16, 2026
6 months ago
Oct 23, 2026
4 days ago
6mo newerKnowledge 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 4.7 is available from Anthropic, DeepInfra, Vertex AI. Kimi K3.1 Pro is available from Moonshot AI.
Claude Opus 4.7
Kimi K3.1 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 4.7 and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 4.7 vs Kimi K3.1 Pro.