Gemma 4 26B A4B vs Mixtral 8x22B Instruct
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 Mixtral 8x22B Instruct.
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 — delivering near-31B quality at...
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
Technical Specifications
| Specification | Gemma 4 26B A4B | Mixtral 8x22B Instruct |
|---|---|---|
| Provider | Mistral | |
| Context Window | 262,144 tokens | 65,536 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-03 | 2024-04-17 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 4 26B A4B
$0.06
Mixtral 8x22B Instruct
$2.00
Output Price per Million Tokens
Gemma 4 26B A4B
$0.33
Mixtral 8x22B Instruct
$6.00
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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.
Mixtral 8x22B Instruct Quirks & Gotchas
No developer gotchas reported.