Yi-Large vs Command A
01.AI vs Cohere · Prices checked 12 August 2026
On price Yi-Large edges it, $3.00 per million tokens blended versus $4.75, about 37 per cent less. A single 100K-input, 10K-output job costs $0.330 on Yi-Large against $0.350 on Command A.
Capability favours Command A, ahead on 4 of 4 suites they both publish. The widest gap is on LMArena Elo, where Command A leads by 81 points. Command A reads more in one request: 256,000 tokens of context against 32,000.
Pricing and capacity
| Metric | Yi-Large | Command A | Difference |
|---|---|---|---|
| Input / 1M tokens | $3.00 | $2.50 | 17% |
| Output / 1M tokens | $3.00 | $10.00 | 3.3× |
| Blended · 70/30calculated | $3.00 | $4.75 | 37% |
| Blended · 50/50calculated | $3.00 | $6.25 | 2.1× |
| Blended · 80/20calculated | $3.00 | $4.00 | 25% |
| Blended · 20/80calculated | $3.00 | $8.50 | 2.8× |
| Job cost · 100K + 10Kcalculated | $0.330 | $0.350 | 6% |
| Job cost · 1M + 100Kcalculated | $3.30 | $3.50 | 6% |
| Context window | 32,000 | 256,000 | 8.0× |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Benchmarks
| Benchmark | Yi-Large | Command A | Leader |
|---|---|---|---|
| MMLU | 78% | 85% | Command A |
| MATH | 60% | 75% | Command A |
| HumanEval | 70% | 84% | Command A |
| LMArena Elo | 1199 Elo | 1280 Elo | Command A |
Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.
What each model is for
Frequently asked questions
Which is cheaper, Yi-Large or Command A?
On price Yi-Large edges it, $3.00 per million tokens blended versus $4.75, about 37 per cent less. A single 100K-input, 10K-output job costs $0.330 on Yi-Large against $0.350 on Command A. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which performs better, Yi-Large or Command A?
Capability favours Command A, ahead on 4 of 4 suites they both publish. The widest gap is on LMArena Elo, where Command A leads by 81 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.
Which has the larger context window, Yi-Large or Command A?
Command A reads more in one request: 256,000 tokens of context against 32,000. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare Yi-Large and Command A on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.