Model Comparison
Gemma 4 E2B (Non-reasoning)
vs. Mixtral 8x7B Instruct
Comparing 2 AI models · 11 benchmarks · Google, Mistral
Recommended Pick
Go Gemma 4 E2B (Non-reasoning) 6 metric wins Strongest on: Input price, Output price, Reasoning
Lowest Price
Gemma 4 E2B (Non-reasoning)
$0.00/1M input price
Best Reasoning
Gemma 4 E2B (Non-reasoning)
17.1 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Gemma 4 E2B (Non-reasoning) is ∞x cheaper on input tokens than Mixtral 8x7B Instruct.
Reasoning gap
Gemma 4 E2B (Non-reasoning) leads Mixtral 8x7B Instruct by 3.9 points on reasoning.
Top-pick rationale
Gemma 4 E2B (Non-reasoning) wins 6 measurable categories, including Input price, Output price, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemma 4 E2B (Non-reasoning)
TTFT
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Time
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tok/s
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Tokens
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Cost
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Mixtral 8x7B Instruct
Mistral
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Go Gemma 4 E2B (Non-reasoning) | Mi Mixtral 8x7B Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.45/1M |
| Output Cost | $0.00/1M | $0.70/1M |
| Blended (3:1) | — | $0.51/1M |
| Specifications | ||
| Organization | Mistral | |
| Release Date | Apr 2, 2026 | Dec 11, 2023 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 17.1 | 13.2 |
| Intelligence | 6.4 | 2.4 |
| Standard Benchmarks | ||
| GPQA | 40.5% | 29.2% |
| MMLU Pro | — | 38.7% |
| HLE | 4.5% | 4.5% |
| LiveCodeBench | — | 6.6% |
| MATH 500 | — | 29.9% |
| AIME (Original) | — | 0.0% |
| SciCode | 20.4% | 2.8% |
| LCR | 15.0% | — |
| IFBench | 33.6% | — |
| TAU-bench v2 | 22.2% | — |
| TerminalBench Hard | 2.3% | — |
Key Takeaways
Gemma 4 E2B (Non-reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemma 4 E2B (Non-reasoning) has the strongest reasoning profile with a 17.1 reasoning score, combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Gemma 4 E2B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Mixtral 8x7B Instruct
- General-purpose AI
- Versatile applications
