Model Comparison
Gemma 4 31B vs Kimi K3Which is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. Gemma 4 31B is 31.2x cheaper per token.
Verdict: Gemma 4 31B vs Kimi K3 — which is better?
Gemma 4 31B (by Google) and Kimi K3 (by Moonshot AI) 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.
Gemma 4 31B outperforms in 0 benchmarks, while Kimi K3 is better at 5 benchmarks (GDPval-AA, GPQA, Humanity's Last Exam, MathVision, MMMU-Pro). Kimi K3 significantly outperforms across most benchmarks.
On price, Gemma 4 31B is roughly 31.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 4 31B if…
- cost matters — it's about 31.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 4 31B outperforms in 0 benchmarks, while Kimi K3 is better at 5 benchmarks (GDPval-AA, GPQA, Humanity's Last Exam, MathVision, MMMU-Pro).
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 4 31B ($0.13/1M tokens) is 23.1x cheaper than Kimi K3 ($3.00/1M tokens).
For output processing, Gemma 4 31B ($0.38/1M tokens) is 39.5x cheaper than Kimi K3 ($15.00/1M tokens).
In conclusion, Kimi K3 is more expensive than Gemma 4 31B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2769.3B more parameters than Gemma 4 31B, making it 9020.5% larger.
Context Window
Maximum input and output token capacity
Kimi K3 accepts 1,048,576 input tokens compared to Gemma 4 31B's 262,144 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Gemma 4 31B is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Both Gemma 4 31B and Kimi K3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
Kimi K3
Release Timeline
When each model was launched
Gemma 4 31B was released on 2026-04-02, while Kimi K3 was released on 2026-07-16.
Kimi K3 is 4 months newer than Gemma 4 31B.
Apr 2, 2026
3 months ago
Jul 16, 2026
1 days ago
3mo newerKnowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while Kimi K3'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's cutoff date.
Jan 2025
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Provider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. Kimi K3 is available from Moonshot AI.
Gemma 4 31B
Kimi K3
Outputs Comparison
Key Takeaways
Gemma 4 31B
View detailsKimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 4 31B and Kimi K3 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 4 31B vs Kimi K3.