In this head-to-head showdown, Deep Cogito: Cogito v2.1 671B is more budget-friendly at $1.25/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
3 benchmarks evaluated across capability, speed, and cost
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Single model data
No latency data
$1.25 / 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 | Deep Cogito: Cogito v2.1 671B | Command A | Advantage Delta |
|---|---|---|---|
| Preference Elo | — | — | |
| LiveBench | — | — | |
| SWE-bench | — | — | |
| GPQA Diamond | — | — | |
| Time to first token | — | — | |
| Output speed | — | 118 tok/s | — |
| Input price | $1.25/1M | $2.5/1M | +$1.25/1M |
| Output price | $1.25/1M | +$8.75/1M | |
| Context window | +128k |
Simulate monthly production API costs in USD (US Dollar).
Deep Cogito: Cogito v2.1 671B is estimated to save $175.00/month ($2,100/year).
Need SWE-bench on both sides.
Lower output list price ($1.25/1M).
Need TTFT on both sides.
Larger window (256k).
Command A 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 | Deep Cogito: Cogito v2.1 671B | Lower output list price ($1.25/1M). |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | Command A | Larger window (256k). |
| Screenshots / vision | Command A | Command A is the side marked multimodal in the catalog. |
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Verified Head-to-Head Telemetry
