Model Comparison
Command A
vs. Large 2 (Nov '24)
Comparing 2 AI models · 12 benchmarks · Cohere, Mistral
Recommended Pick
Mi Large 2 (Nov '24) 13 metric wins Strongest on: Value, Input price, Output price
Best Value
Large 2 (Nov '24)
100.0 value score
25.8 reasoning / $3.00/1M
Lowest Price
Large 2 (Nov '24)
$2.00/1M input price
Best Reasoning
Command A
26.9 reasoning score
Blends available reasoning benchmarks
Best for Coding
Large 2 (Nov '24)
13.8 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Large 2 (Nov '24) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Large 2 (Nov '24) is 1.3x cheaper on input tokens than Command A.
Speed gap
Command A generates about 1.1x as many tokens per second as Large 2 (Nov '24).
Reasoning gap
Command A leads Large 2 (Nov '24) by 1.1 points on reasoning.
Coding gap
Large 2 (Nov '24) leads Command A by 3.9 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Command A
Cohere
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Large 2 (Nov '24)
Mistral
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Co Command A | Top Pick Mi Large 2 (Nov '24) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.50/1M | $2.00/1M |
| Output Cost | $10.00/1M | $6.00/1M |
| Blended (3:1) | $4.38/1M | $3.00/1M |
| Specifications | ||
| Organization | Cohere | Mistral |
| Release Date | Mar 13, 2025 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | 70.3 tok/s | 63.2 tok/s |
| TTFT | 310ms | 581ms |
| Latency | 310ms | 581ms |
| Composite Indices | ||
| Value Score | 71.6 | 100.0 |
| Reasoning Score | 26.9 | 25.8 |
| Intelligence | 13.5 | 15.1 |
| Coding | 9.9 | 13.8 |
| Math | 13.0 | 14.0 |
| Standard Benchmarks | ||
| GPQA | 52.7% | 48.6% |
| MMLU Pro | 71.2% | 69.7% |
| HLE | 4.6% | 4.0% |
| LiveCodeBench | 28.7% | 29.3% |
| MATH 500 | 81.9% | 73.6% |
| AIME 2025 | 13.0% | 14.0% |
| AIME (Original) | 9.7% | 11.0% |
| SciCode | 28.1% | 29.2% |
| LCR | 18.0% | 5.3% |
| IFBench | 36.5% | 31.2% |
| TAU-bench v2 | 15.2% | 30.7% |
| TerminalBench Hard | 0.8% | 6.1% |
Key Takeaways
Large 2 (Nov '24) offers the best value at $2.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Command A has the strongest reasoning profile with a 26.9 reasoning score, combining the available reasoning-heavy benchmarks.
Large 2 (Nov '24) reaches a 13.8 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Command A
- Complex reasoning tasks
- Research & analysis
Large 2 (Nov '24)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
