In this head-to-head showdown, Yi-Large is more budget-friendly at $0.3/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
2 benchmarks evaluated across capability, speed, and cost
Auto-discovered from OpenRouter (mistralai/mistral-saba). Preview until a second source matches.
01.AI full-scale dense model for complex instruction following.
Single model data
No latency data
$0.3 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | Mistral: Saba | Yi-Large | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| Coding Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 90 tok/s | — |
| Input price | $0.2/1M | $0.3/1M | +$0.1/1M |
| Output price | $0.6/1M | $0.3/1M | +$0.3/1M |
| Context window | — |
Simulate monthly production API costs in USD (US Dollar).
Yi-Large is estimated to save $1.00/month ($12/year).
Need SWE-bench on both sides.
Lower output list price ($0.3/1M).
Need TTFT on both sides.
Larger window (33k).
Yi-Large is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | Yi-Large | Lower output list price ($0.3/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Mistral: Saba | Larger window (33k). |
| Screenshots / vision | Yi-Large | Yi-Large is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry
