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  3. Command A vs GPT-4 Turbo

Pairwise benchmark snapshot · Aug 1, 2026

Command A vs GPT-4 Turbo benchmark

In this head-to-head showdown, Command A delivers higher overall intelligence and human-preferred responses (Elo 1,344 vs 1,255), while Command A leads in SWE-bench software engineering benchmarks (42.6%), while Command A is more budget-friendly at $10/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Command A holds the advantage over GPT-4 Turbo in overall benchmark performance and human evaluation rankings. Choose Command A 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 (9)GPT-4 Turbo (0)
Command A
9 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price✓Context window
GPT-4 Turbo
0 of 9 Wins
Competitive baseline across remaining benchmarks
Cohere
Leads 9 of 9 metrics
Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out
OpenAI
GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Elo 1,255$30/1M 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 LeaderCommand A Wins

Command A

Δ 89 Arena Elo pts

Throughput LeaderCommand A Wins

Command A

118 tok/s

Value per Dollar LeaderCommand A Wins

Command A

$10 / 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 (9)vsGPT-4 Turbo (0)
Command A: 9W (100%)Overall: Command AGPT-4 Turbo: 0W (0%)
← Command AGPT-4 Turbo →
🏆Command A(4/5)

Intelligence & Reasoning

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

Benchmark
Command AvsGPT-4 Turbo
Preference Elo
1,344vs1,255+89
Coding Elo
—vs—
SWE-bench
42.6%vs33.2%+9.4%
LiveBench
56.2%vs47%+9.2%
GPQA Diamond
66%vs48%+18%
Command A: 4WGPT-4 Turbo: 0W
🏆Command A(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Command AvsGPT-4 Turbo
Output speed
118 tok/svs55 tok/s+63 tok/s
Time to first token
175 msvs350 ms+175 ms
Command A: 2WGPT-4 Turbo: 0W
🏆Command A(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Command AvsGPT-4 Turbo
Output price
$10/1Mvs$30/1M+$20/1M
Input price
$2.5/1Mvs$10/1M+$7.5/1M
Context window
256kvs128k+128k
Command A: 3WGPT-4 Turbo: 0W

Side-by-Side Benchmark Matrix

Preference Elo+89
Command A1,344
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo1,255
seed-bootstrap · Aug 1, 2026
LiveBench+9.2%
Command A56.2%
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo47%
seed-bootstrap · Aug 1, 2026
SWE-bench+9.4%
Command A42.6%
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo33.2%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+18%
Command A66%
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo48%
seed-bootstrap · Aug 1, 2026
Time to first token+175 ms
Command A175 ms
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo350 ms
seed-bootstrap · Aug 1, 2026
Output speed+63 tok/s
Command A118 tok/s
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo55 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$7.5/1M
Command A$2.5/1M
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo$10/1M
seed-bootstrap · Aug 1, 2026
Output price+$20/1M
Command A$10/1M
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo$30/1M
seed-bootstrap · Aug 1, 2026
Context window+128k
Command A256k
seed-bootstrap · Aug 1, 2026
GPT-4 Turbo128k
seed-bootstrap · Aug 1, 2026
BenchmarkCommand AGPT-4 TurboAdvantage Delta
Preference Elo
1,344
seed-bootstrap · Aug 1, 2026
1,255
seed-bootstrap · Aug 1, 2026
+89
LiveBench
56.2%
seed-bootstrap · Aug 1, 2026
47%
seed-bootstrap · Aug 1, 2026
+9.2%
SWE-bench
42.6%
seed-bootstrap · Aug 1, 2026
33.2%
seed-bootstrap · Aug 1, 2026
+9.4%
GPQA Diamond
66%
seed-bootstrap · Aug 1, 2026
48%
seed-bootstrap · Aug 1, 2026
+18%
Time to first token
175 ms
seed-bootstrap · Aug 1, 2026
350 ms
seed-bootstrap · Aug 1, 2026
+175 ms
Output speed
118 tok/s
seed-bootstrap · Aug 1, 2026
55 tok/s
seed-bootstrap · Aug 1, 2026
+63 tok/s
Input price
$2.5/1M
seed-bootstrap · Aug 1, 2026
$10/1M
seed-bootstrap · Aug 1, 2026
+$7.5/1M
Output price
$10/1M
seed-bootstrap · Aug 1, 2026
$30/1M
seed-bootstrap · Aug 1, 2026
+$20/1M
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 70% with Command A
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
GPT-4 Turbo$800.00 / mo
In: $350Out: $450
Estimated Cost Delta

Command A is estimated to save $562.50/month ($6,750/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Command A:Pick Command A 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
    Command A:Pick Command A as the default general assistant.

Recommended Workload Routing

Repo / coding agentsCommand A

Higher SWE-bench (42.6%).

High-volume chatCommand A

Lower output list price ($10/1M).

Voice / low-latency UICommand A

Lower TTFT (175 ms).

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsCommand AHigher SWE-bench (42.6%).
High-volume chatCommand ALower output list price ($10/1M).
Voice / low-latency UICommand ALower TTFT (175 ms).
Long-document RAGCommand ALarger window (256k).
Screenshots / visionGPT-4 TurboGPT-4 Turbo 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

GPT-4 Turbo

Elo 1,255
SWE-bench33.2%
Speed (tok/s)55 tok/s
Input / 1M Tokens$10/1M
Output / 1M Tokens$30/1M

Frequently Asked Questions

Which is better overall, Command A or GPT-4 Turbo?
Command A has the higher preference Elo in our latest snapshot (1,344). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Command A or GPT-4 Turbo?
Command A leads SWE-bench at 42.6% vs 33.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Command A output tokens are $10/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or GPT-4 Turbo?
Command A has the lower time-to-first-token (175 ms vs 350 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 GPT-4 Turbo 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 GPT-4 Turbo matchups →
GPT-4 Turbo vs GPT-4o (next gpt-flagship)GPT-5 vs Command AOpenAI o3-mini vs Command AGPT-4.5 Orion vs Command AGPT-5.6 Sol vs Command AGPT-5.6 Terra vs Command A