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Gemma 4 26B A4B vs Mistral Large

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemma 4 26B A4B and Mistral Large.

Google

Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference โ€” delivering near-31B quality at...

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Mistral

Mistral Large

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....

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Technical Specifications

SpecificationGemma 4 26B A4BMistral Large
ProviderGoogleMistral
Context Window262,144 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-032024-02-26

API Pricing Comparison

Input Price per Million Tokens

Gemma 4 26B A4B

$0.06

Mistral Large

$2.00

Output Price per Million Tokens

Gemma 4 26B A4B

$0.33

Mistral Large

$6.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

Gemma 4 26B A4B Quirks & Gotchas

No developer gotchas reported.

Mistral Large Quirks & Gotchas

No developer gotchas reported.