Model Comparison

Gemma 4 26B-A4B vs Gemma 4 31BWhich is better in 2026?

Gemma 4 31B significantly outperforms across most benchmarks. Gemma 4 31B is 1.0x cheaper per token.

Verdict: Gemma 4 26B-A4B vs Gemma 4 31B — which is better?

Gemma 4 26B-A4B (by Google) and Gemma 4 31B (by Google) 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 26B-A4B outperforms in 0 benchmarks, while Gemma 4 31B is better at 12 benchmarks (AIME 2026, BIG-Bench Extra Hard, GPQA, Humanity's Last Exam, LiveCodeBench v6, MathVision, MedXpertQA, MMLU-Pro, MMMLU, MMMU-Pro, MRCR v2 (8-needle), t2-bench). Gemma 4 31B significantly outperforms across most benchmarks.

Choose Gemma 4 26B-A4B if…

  • you want predictable pricing at $0.13/M input and $0.40/M output

Choose Gemma 4 31B if…

  • you want the strongest raw capability — it leads on 12 of 12 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

12 benchmarks

Gemma 4 26B-A4B outperforms in 0 benchmarks, while Gemma 4 31B is better at 12 benchmarks (AIME 2026, BIG-Bench Extra Hard, GPQA, Humanity's Last Exam, LiveCodeBench v6, MathVision, MedXpertQA, MMLU-Pro, MMMLU, MMMU-Pro, MRCR v2 (8-needle), t2-bench).

Gemma 4 31B significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 4 31B costs less

For input processing, Gemma 4 26B-A4B ($0.13/1M tokens) costs the same as Gemma 4 31B ($0.13/1M tokens).

For output processing, Gemma 4 26B-A4B ($0.40/1M tokens) is 1.1x more expensive than Gemma 4 31B ($0.38/1M tokens).

In conclusion, Gemma 4 26B-A4B is more expensive than Gemma 4 31B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Google
Gemma 4 26B-A4B
Input tokens$0.13
Output tokens$0.40
Best providerNovita
Google
Gemma 4 31B
Input tokens$0.13
Output tokens$0.38
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

5.5B diff

Gemma 4 31B has 5.5B more parameters than Gemma 4 26B-A4B, making it 21.8% larger.

Google
Gemma 4 26B-A4B
25.2Bparameters
Google
Gemma 4 31B
30.7Bparameters
25.2B
Gemma 4 26B-A4B
30.7B
Gemma 4 31B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Both models can generate responses up to 131,072 tokens.

Google
Gemma 4 26B-A4B
Input262,144 tokens
Output131,072 tokens
Google
Gemma 4 31B
Input262,144 tokens
Output131,072 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 4 26B-A4B and Gemma 4 31B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 4 26B-A4B

Text
Images
Audio
Video

Gemma 4 31B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Gemma 4 26B-A4B

Apache 2.0

Open weights

Gemma 4 31B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Both models were released on 2026-04-02.

They likely represent similar generations of model development.

Gemma 4 26B-A4B

Apr 2, 2026

3 months ago

Gemma 4 31B

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Both models have the same knowledge cutoff date of 2025-01-01.

They should have similar awareness of historical events and information up to this date.

Gemma 4 26B-A4B

Jan 2025

Gemma 4 31B

Jan 2025

Provider Availability

Gemma 4 26B-A4B is available from Novita. Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together.

Gemma 4 26B-A4B

novita logo
Novita
Input Price:Input: $0.13/1MOutput Price:Output: $0.40/1M

Gemma 4 31B

deepinfra logo
Deepinfra
Input Price:Input: $0.13/1MOutput Price:Output: $0.38/1M
friendli logo
FriendliAI
Input Price:Input: $0.14/1MOutput Price:Output: $0.40/1M
novita logo
Novita
Input Price:Input: $0.14/1MOutput Price:Output: $0.40/1M
together logo
Together
Input Price:Input: $0.39/1MOutput Price:Output: $0.97/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

No standout differentiators in the data we have for this pair.

Less expensive output tokens
Higher AIME 2026 score (89.2% vs 88.3%)
Higher BIG-Bench Extra Hard score (74.4% vs 64.8%)
Higher GPQA score (84.3% vs 82.3%)
Higher Humanity's Last Exam score (26.5% vs 17.2%)
Higher LiveCodeBench v6 score (80.0% vs 77.1%)
Higher MathVision score (85.6% vs 82.4%)
Higher MedXpertQA score (61.3% vs 58.1%)
Higher MMLU-Pro score (85.2% vs 82.6%)
Higher MMMLU score (88.4% vs 86.3%)
Higher MMMU-Pro score (76.9% vs 73.8%)
Higher MRCR v2 (8-needle) score (66.4% vs 44.1%)
Higher t2-bench score (86.4% vs 85.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 4 26B-A4B and Gemma 4 31B side-by-side, then vote on the output you prefer.

Gemma 4 26B-A4B
✓ Preferred
Gemma 4 31B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 4 26B-A4B
Google
Gemma 4 31B

FAQ

Common questions about Gemma 4 26B-A4B vs Gemma 4 31B.

Which is better, Gemma 4 26B-A4B or Gemma 4 31B?

Gemma 4 31B significantly outperforms across most benchmarks. Gemma 4 26B-A4B is made by Google and Gemma 4 31B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 4 26B-A4B compare to Gemma 4 31B in benchmarks?

Gemma 4 26B-A4B scores AIME 2026: 88.3%, MMMLU: 86.3%, t2-bench: 85.5%, MMLU-Pro: 82.6%, MathVision: 82.4%. Gemma 4 31B scores AIME 2026: 89.2%, MMMLU: 88.4%, t2-bench: 86.4%, MathVision: 85.6%, MMLU-Pro: 85.2%.

Is Gemma 4 26B-A4B cheaper than Gemma 4 31B?

Both models cost $0.13 per million input tokens.

What are the context window sizes for Gemma 4 26B-A4B and Gemma 4 31B?

Gemma 4 26B-A4B supports 262K tokens and Gemma 4 31B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.