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Every score has a dated snapshot.

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  3. Command A vs OpenAI o1-mini

Pairwise benchmark snapshot · Aug 1, 2026

Command A vs OpenAI o1-mini benchmark

In this head-to-head showdown, OpenAI o1-mini delivers higher overall intelligence and human-preferred responses (Elo 1,445 vs 1,344), while OpenAI o1-mini leads in SWE-bench software engineering benchmarks (56.4%), while OpenAI o1-mini is more budget-friendly at $4.4/1M per 1M output tokens, while Command A provides faster response streaming (118 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: OpenAI o1-mini holds the advantage over Command A in overall benchmark performance and human evaluation rankings. Choose OpenAI o1-mini for demanding workloads, or review the breakdown below to compare coding and pricing metrics.
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Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

Command A (3)OpenAI o1-mini (6)
Command A
3 of 9 Wins
✓Time to first token✓Output speed✓Context window
OpenAI o1-mini
6 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Input price✓Output price
Cohere
Leads 3 of 9 metrics
Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out
OpenAI
Leads 6 of 9 metrics
OpenAI o1-mini

OpenAI high-speed, cost-effective reasoning model optimized for STEM, math, and code generation.

Elo 1,445$4.4/1M out
Top Rival Showdowns for Command A
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference LeaderOpenAI o1-mini Wins

OpenAI o1-mini

Δ 101 Arena Elo pts

Throughput LeaderCommand A Wins

Command A

118 tok/s

Value per Dollar LeaderOpenAI o1-mini Wins

OpenAI o1-mini

$4.4 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Command A (3)vsOpenAI o1-mini (7)
Command A: 3W (30%)Overall: OpenAI o1-miniOpenAI o1-mini: 7W (70%)
← Command AOpenAI o1-mini →
🏆OpenAI o1-mini(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Command AvsOpenAI o1-mini
Preference Elo
1,344vs1,445+101
Coding Elo
—vs1,468
SWE-bench
42.6%vs56.4%+13.8%
LiveBench
56.2%vs62%+5.8%
GPQA Diamond
66%vs76.8%+10.8%
Command A: 0WOpenAI o1-mini: 5W
🏆Command A(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Command AvsOpenAI o1-mini
Output speed
118 tok/svs85 tok/s+33 tok/s
Time to first token
175 msvs280 ms+105 ms
Command A: 2WOpenAI o1-mini: 0W
🏆OpenAI o1-mini(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Command AvsOpenAI o1-mini
Output price
$10/1Mvs$4.4/1M+$5.6/1M
Input price
$2.5/1Mvs$1.1/1M+$1.4/1M
Context window
256kvs128k+128k
Command A: 1WOpenAI o1-mini: 2W

Side-by-Side Benchmark Matrix

Preference Elo+101
Command A1,344
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini1,445
seed-bootstrap · Aug 1, 2026
Coding Elo
Command A—
OpenAI o1-mini1,468
seed-bootstrap · Aug 1, 2026
LiveBench+5.8%
Command A56.2%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini62%
seed-bootstrap · Aug 1, 2026
SWE-bench+13.8%
Command A42.6%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini56.4%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+10.8%
Command A66%
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini76.8%
seed-bootstrap · Aug 1, 2026
Time to first token+105 ms
Command A175 ms
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini280 ms
seed-bootstrap · Aug 1, 2026
Output speed+33 tok/s
Command A118 tok/s
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini85 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$1.4/1M
Command A$2.5/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini$1.1/1M
seed-bootstrap · Aug 1, 2026
Output price+$5.6/1M
Command A$10/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini$4.4/1M
seed-bootstrap · Aug 1, 2026
Context window+128k
Command A256k
seed-bootstrap · Aug 1, 2026
OpenAI o1-mini128k
seed-bootstrap · Aug 1, 2026
BenchmarkCommand AOpenAI o1-miniAdvantage Delta
Preference Elo
1,344
seed-bootstrap · Aug 1, 2026
1,445
seed-bootstrap · Aug 1, 2026
+101
Coding Elo—
1,468
seed-bootstrap · Aug 1, 2026
—
LiveBench
56.2%
seed-bootstrap · Aug 1, 2026
62%
seed-bootstrap · Aug 1, 2026
+5.8%
SWE-bench
42.6%
seed-bootstrap · Aug 1, 2026
56.4%
seed-bootstrap · Aug 1, 2026
+13.8%
GPQA Diamond
66%
seed-bootstrap · Aug 1, 2026
76.8%
seed-bootstrap · Aug 1, 2026
+10.8%
Time to first token
175 ms
seed-bootstrap · Aug 1, 2026
280 ms
seed-bootstrap · Aug 1, 2026
+105 ms
Output speed
118 tok/s
seed-bootstrap · Aug 1, 2026
85 tok/s
seed-bootstrap · Aug 1, 2026
+33 tok/s
Input price
$2.5/1M
seed-bootstrap · Aug 1, 2026
$1.1/1M
seed-bootstrap · Aug 1, 2026
+$1.4/1M
Output price
$10/1M
seed-bootstrap · Aug 1, 2026
$4.4/1M
seed-bootstrap · Aug 1, 2026
+$5.6/1M
Context window
256k
seed-bootstrap · Aug 1, 2026
128k
seed-bootstrap · Aug 1, 2026
+128k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 56% with OpenAI o1-mini
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Command A$237.50 / mo
In: $87.5Out: $150
OpenAI o1-mini$104.50 / mo
In: $38.5Out: $66
Estimated Cost Delta

OpenAI o1-mini is estimated to save $133.00/month ($1,596/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI o1-mini:Pick OpenAI o1-mini when repo-level coding accuracy is the constraint.
  • 2
    Command A:Pick Command A when time-to-first-token matters more than peak Elo.
  • 3
    OpenAI o1-mini:Pick OpenAI o1-mini as the default general assistant.

Recommended Workload Routing

Repo / coding agentsOpenAI o1-mini

Higher SWE-bench (56.4%).

High-volume chatOpenAI o1-mini

Lower output list price ($4.4/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionOpenAI o1-mini

OpenAI o1-mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsOpenAI o1-miniHigher SWE-bench (56.4%).
High-volume chatOpenAI o1-miniLower output list price ($4.4/1M).
Voice / low-latency UICommand ALower TTFT (175 ms).
Long-document RAGCommand ALarger window (256k).
Screenshots / visionOpenAI o1-miniOpenAI o1-mini is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchMar 13, 2025

Command A: Cohere’s enterprise RAG and tool-use row

Mar 2025. RAG and tools, not a frontier Elo play. Listed so “command a benchmark” has a sourced page.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Cohere

Command A

Elo 1,344
SWE-bench42.6%
Speed (tok/s)118 tok/s
Input / 1M Tokens$2.5/1M
Output / 1M Tokens$10/1M
OpenAI

OpenAI o1-mini

Elo 1,445
SWE-bench56.4%
Speed (tok/s)85 tok/s
Input / 1M Tokens$1.1/1M
Output / 1M Tokens$4.4/1M

Frequently Asked Questions

Which is better overall, Command A or OpenAI o1-mini?
OpenAI o1-mini has the higher preference Elo in our latest snapshot (1,445). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Command A or OpenAI o1-mini?
OpenAI o1-mini leads SWE-bench at 56.4% vs 42.6%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
OpenAI o1-mini output tokens are $4.4/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or OpenAI o1-mini?
Command A has the lower time-to-first-token (175 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
Command A accepts 256k tokens versus 128k.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Command A and OpenAI o1-mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Mar 13, 2025

    Command A: Cohere’s enterprise RAG and tool-use row

Similar Head-to-Head Comparisons

All Command A matchups →|All OpenAI o1-mini matchups →
OpenAI o1-mini vs GPT-4o mini (previous gpt-mini)OpenAI o1-mini vs OpenAI o3-mini (next gpt-mini)GPT-5 vs OpenAI o1-miniGPT-4.5 Orion vs OpenAI o1-miniGPT-5.6 Sol vs OpenAI o1-miniGPT-5.6 Terra vs OpenAI o1-mini