Model Comparison
Pixtral Large
vs. Trinity Large Thinking
Comparing 2 AI models · 12 benchmarks · Mistral, Arcee AI
Recommended Pick
ArTrinity Large Thinking13 metric winsStrongest on: Value, Input price, Output price
Best Value
Trinity Large Thinking
100.0 value score
38.1 reasoning / $0.40/1M
Lowest Price
Trinity Large Thinking
$0.23/1M input price
Best Reasoning
Trinity Large Thinking
38.1 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
Best value
Trinity Large Thinking has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Trinity Large Thinking is 8.5x cheaper on input tokens than Pixtral Large.
Reasoning gap
Trinity Large Thinking leads Pixtral Large by 17.4 points on reasoning.
Top-pick rationale
Trinity Large Thinking wins 13 measurable categories, including Value, 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.
Pixtral Large
Mistral
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Trinity Large Thinking
Arcee AI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Mi Pixtral Large | Top Pick Ar Trinity Large Thinking |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $0.23/1M |
| Output Cost | $6.00/1M | $0.88/1M |
| Blended (3:1) | $3.00/1M | $0.40/1M |
| Specifications | ||
| Organization | Mistral | Arcee AI |
| Release Date | Nov 18, 2024 | Apr 1, 2026 |
| Performance & Speed | ||
| Throughput | — | 207.5 tok/s |
| TTFT | — | 717ms |
| Latency | — | 10355ms |
| Composite Indices | ||
| Value Score | 7.2 | 100.0 |
| Reasoning Score | 20.7 | 38.1 |
| Intelligence | 8.1 | 24.5 |
| Math | 2.3 | — |
| Standard Benchmarks | ||
| GPQA | 50.5% | 75.2% |
| MMLU Pro | 70.1% | — |
| HLE | 3.6% | 14.7% |
| LiveCodeBench | 26.1% | — |
| MATH 500 | 71.4% | — |
| AIME 2025 | 2.3% | — |
| AIME (Original) | 7.0% | — |
| SciCode | 29.2% | 36.1% |
| LCR | 10.3% | 33.0% |
| IFBench | 34.5% | 56.3% |
| TAU-bench v2 | 36.5% | 90.1% |
| TerminalBench Hard | — | 22.7% |
Key Takeaways
Trinity Large Thinking offers the best value at $0.23/1M,making it ideal for high-volume applications and cost-conscious projects.
Trinity Large Thinking has the strongest reasoning profile with a 38.1 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
Pixtral Large
- General-purpose AI
- Versatile applications
Trinity Large Thinking
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
