Gemma 4 31B vs Kimi K3.1 Pro
Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 32.5. Gemma 4 31B is 26.2x cheaper per token.
Google · Moonshot AI · Updated for 2026
Which is better?
Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 32.5, ranking #5 overall.
In the 3 individual benchmarks reported for both models, Kimi K3.1 Pro wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemma 4 31B is roughly 26.2x 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 Gemma 4 31B
- cost matters — it's about 26.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Kimi K3.1 Pro
- overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- 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
12 reported for Gemma 4 31B · 30 for Kimi K3.1 Pro
Gemma 4 31B outperforms in 0 benchmarks, while Kimi K3.1 Pro is better at 3 benchmarks (GPQA, Humanity's Last Exam, MMMU-Pro).
Kimi K3.1 Pro 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, Gemma 4 31B ($0.09/1M tokens) is 22.2x cheaper than Kimi K3.1 Pro ($2.00/1M tokens).
For output processing, Gemma 4 31B ($0.34/1M tokens) is 29.4x cheaper than Kimi K3.1 Pro ($10.00/1M tokens).
In conclusion, Kimi K3.1 Pro is more expensive than Gemma 4 31B.*
* 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 Gemma 4 31B's 262,144 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while Gemma 4 31B is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 4 31B and Kimi K3.1 Pro support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
Kimi K3.1 Pro
Release Timeline
When each model was launched
Gemma 4 31B was released on 2026-04-02, while Kimi K3.1 Pro was released on 2026-10-23.
Kimi K3.1 Pro is 7 months newer than Gemma 4 31B.
Apr 2, 2026
6 months ago
Oct 23, 2026
2 days ago
6mo newerKnowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while Kimi K3.1 Pro's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without Kimi K3.1 Pro's cutoff date.
Jan 2025
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Provider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. Kimi K3.1 Pro is available from Moonshot AI.
Gemma 4 31B
Kimi K3.1 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 31B and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 31B vs Kimi K3.1 Pro.