Kimi K3.1 Pro vs Qwen3 32B
Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 17.9. Qwen3 32B is 30.8x cheaper per token.
Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 17.9, ranking #5 overall.
On price, Qwen3 32B is roughly 30.8x 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 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
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Qwen3 32B
- cost matters — it's about 30.8x 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
30 reported for Kimi K3.1 Pro · 9 for Qwen3 32B
Kimi K3.1 Pro and Qwen3 32Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K3.1 Pro ($2.00/1M tokens) is 25.0x more expensive than Qwen3 32B ($0.08/1M tokens).
For output processing, Kimi K3.1 Pro ($10.00/1M tokens) is 35.7x more expensive than Qwen3 32B ($0.28/1M tokens).
In conclusion, Kimi K3.1 Pro is more expensive than Qwen3 32B.*
* 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 Qwen3 32B's 40,960 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while Qwen3 32B is limited to 40,960 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K3.1 Pro supports multimodal inputs, whereas Qwen3 32B does not.
Kimi K3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Kimi K3.1 Pro
Qwen3 32B
Release Timeline
When each model was launched
Kimi K3.1 Pro was released on 2026-10-23, while Qwen3 32B was released on 2025-04-29.
Kimi K3.1 Pro is 18 months newer than Qwen3 32B.
Oct 23, 2026
4 days ago
1.5yr newerApr 29, 2025
1.5 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 K3.1 Pro is available from Moonshot AI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
Kimi K3.1 Pro
Qwen3 32B
Outputs Comparison
Judge for yourself.
Run your own prompts against Kimi K3.1 Pro and Qwen3 32B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Kimi K3.1 Pro vs Qwen3 32B.