Model Comparison
Gemini 3 Pro Preview (Low)
vs. Large 4 (Medium)
Comparing 2 AI models · 0 benchmarks · Google, Mistral
Recommended Pick
MiLarge 4 (Medium)3 metric winsStrongest on: Input price, Output price, Blended price
Lowest Price
Large 4 (Medium)
$0.70/1M input price
Differences That Matter
Price gap
Large 4 (Medium) is 2.9x cheaper on input tokens than Gemini 3 Pro Preview (Low).
Top-pick rationale
Large 4 (Medium) wins 3 measurable categories, including Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 3 Pro Preview (Low)
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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Large 4 (Medium)
Mistral
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
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Which answer was more useful?
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Full Comparison
| Metric | Go Gemini 3 Pro Preview (Low) | Top Pick Mi Large 4 (Medium) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.70/1M |
| Output Cost | $12.00/1M | $2.10/1M |
| Blended (3:1) | $4.50/1M | $1.05/1M |
| Specifications | ||
| Organization | Mistral | |
| Release Date | Nov 18, 2025 | Oct 29, 2026 |
| Performance & Speed | ||
| Throughput | — | 137.7 tok/s |
| TTFT | — | 1690ms |
| Latency | — | 16220ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | — | 23.1 |
| Intelligence | — | 23.1 |
Key Takeaways
Large 4 (Medium) offers the best value at $0.70/1M,making it ideal for high-volume applications and cost-conscious projects.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Gemini 3 Pro Preview (Low)
- General-purpose AI
- Versatile applications
Large 4 (Medium)
- Cost-sensitive applications
- High-volume processing
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