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Gemma 4 E4B vs Mistral Small 3.2 24B Instruct

Gemma 4 E4B leads the LLM Stats Score 13.8 to 8.4. Gemma 4 E4B is 2.7x cheaper per token.

Google · Mistral AI · Updated for 2026

Which is better?

Gemma 4 E4B leads the overall LLM Stats Score 13.8 to 8.4, ranking #250 overall.

In the 2 individual benchmarks reported for both models, Gemma 4 E4B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Gemma 4 E4B is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemma 4 E4B also accepts a larger context window (131,072 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 E4B

  • overall performance matters — it scores 13.8 and ranks #250 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 2.7x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Apr 2026

Choose Mistral Small 3.2 24B Instruct

  • you want predictable pricing at $0.07/M input and $0.20/M output

At a glance

The differences that matter most.

Gemma 4 E4B
Google
Mistral Small 3.2 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
13.8
#250
8.4
#286
Reasoning
13.6
#242
7.9
#287
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.02 / M
$0.07 / M
Output price
$0.10 / M
$0.20 / M
Context window
131,072
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemma 4 E4B
Mistral Small 3.2 24B Instruct
Math
11.9#238
11.1#247
Vision
3.8#167
10.1#129
Multimodal
6.2#140
13.2#108
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 4 E4B · 15 for Mistral Small 3.2 24B Instruct

2 shared

Gemma 4 E4B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Mistral Small 3.2 24B Instruct is better at 0 benchmarks.

Gemma 4 E4B significantly outperforms across most benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 4 E4B costs less

For input processing, Gemma 4 E4B ($0.02/1M tokens) is 3.8x cheaper than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).

For output processing, Gemma 4 E4B ($0.10/1M tokens) is 2.0x cheaper than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).

In conclusion, Mistral Small 3.2 24B Instruct is more expensive than Gemma 4 E4B.*

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

Lowest available price from all providers
Fri Oct 02 2026 • llm-stats.com
Google
Gemma 4 E4B
Input tokens$0.02
Output tokens$0.10
Best providerDeepinfra
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.07
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

15.6B diff

Mistral Small 3.2 24B Instruct has 15.6B more parameters than Gemma 4 E4B, making it 195.0% larger.

Google
Gemma 4 E4B
8.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
8.0B
Gemma 4 E4B
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Gemma 4 E4B accepts 131,072 input tokens compared to Mistral Small 3.2 24B Instruct's 128,000 tokens. Gemma 4 E4B can generate longer responses up to 131,072 tokens, while Mistral Small 3.2 24B Instruct is limited to 128,000 tokens.

Google
Gemma 4 E4B
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Oct 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 4 E4B and Mistral Small 3.2 24B Instruct support multimodal inputs.

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

Gemma 4 E4B

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

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 E4B

Apache 2.0

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 4 E4B was released on 2026-04-02, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Gemma 4 E4B is 10 months newer than Mistral Small 3.2 24B Instruct.

Gemma 4 E4B

Apr 2, 2026

6 months ago

9mo newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemma 4 E4B has a knowledge cutoff of 2025-01-01, while Mistral Small 3.2 24B Instruct has a cutoff of 2023-10-01.

Gemma 4 E4B has more recent training data (up to 2025-01-01), making it potentially better informed about events through that date compared to Mistral Small 3.2 24B Instruct (2023-10-01).

Gemma 4 E4B

Jan 2025

1.3 yr newer
Mistral Small 3.2 24B Instruct

Oct 2023

Provider Availability

Gemma 4 E4B is available from DeepInfra. Mistral Small 3.2 24B Instruct is available from DeepInfra.

Gemma 4 E4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.10/1M

Mistral Small 3.2 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemma 4 E4B and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Gemma 4 E4B
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about Gemma 4 E4B vs Mistral Small 3.2 24B Instruct.

Which is better, Gemma 4 E4B or Mistral Small 3.2 24B Instruct?

Gemma 4 E4B leads the LLM Stats Score 13.8 to 8.4. Gemma 4 E4B is made by Google and Mistral Small 3.2 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 4 E4B compare to Mistral Small 3.2 24B Instruct in benchmarks?

Gemma 4 E4B scores MMMLU: 76.6%, MMLU-Pro: 69.4%, MathVision: 59.5%, GPQA: 58.6%, t2-bench: 57.5%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

Is Gemma 4 E4B cheaper than Mistral Small 3.2 24B Instruct?

Gemma 4 E4B is 3.8x cheaper for input tokens. Gemma 4 E4B costs $0.02/M input and $0.10/M output via deepinfra. Mistral Small 3.2 24B Instruct costs $0.07/M input and $0.20/M output via deepinfra.

What are the context window sizes for Gemma 4 E4B and Mistral Small 3.2 24B Instruct?

Gemma 4 E4B supports 131K tokens and Mistral Small 3.2 24B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 4 E4B and Mistral Small 3.2 24B Instruct?

Key differences include LLM Stats Score (13.8 vs 8.4), context window (131K vs 128K), input pricing ($0.02 vs $0.07/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 4 E4B and Mistral Small 3.2 24B Instruct?

Gemma 4 E4B is developed by Google and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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