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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  2. Comparisons
  3. Command A vs Venice: Uncensored

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Command A vs Venice: Uncensored benchmark

In this head-to-head showdown, Venice: Uncensored is more budget-friendly at $0.9/1M 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: Choose Command A if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Venice: Uncensored if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
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Cohere
Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out
cognitivecomputations
Venice: Uncensored

Auto-discovered from OpenRouter (cognitivecomputations/dolphin-mistral-24b-venice-edition). Preview until a second source matches.

$0.8999999999999999/1M 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 Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Venice: Uncensored

$0.8999999999999999 / 1M output

Capability Percentiles

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

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageCommand A 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Command A (7)vsVenice: Uncensored (2)
Command A: 7W (78%)Overall: Command AVenice: Uncensored: 2W (22%)
← Command AVenice: Uncensored →
Command A (4/5)

Intelligence & Reasoning

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

Preference Elo
1,344vs—
Coding Elo
—vs—
SWE-bench
42.6%vs—
LiveBench
56.2%vs—
GPQA Diamond
66%vs—
Command A: 4WVenice: Uncensored: 0W
Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
118 tok/svs—
Time to first token
175 msvs—
Command A: 2WVenice: Uncensored: 0W
Venice: Uncensored (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$10/1Mvs$0.9/1M
Input price
$2.5/1Mvs$0.2/1M
Context window
256kvs128k
Command A: 1WVenice: Uncensored: 2W

Side-by-Side Benchmark Matrix

Preference Elo
Command A1,344
lmarena · Aug 17, 2026
Venice: Uncensored—
LiveBench
Command A56.2%
livebench · Aug 17, 2026
Venice: Uncensored—
SWE-bench
Command A42.6%
swebench · Aug 17, 2026
Venice: Uncensored—
GPQA Diamond
Command A66%
seed-bootstrap · Aug 1, 2026
Venice: Uncensored—
Time to first token
Command A175 ms
seed-bootstrap · Aug 1, 2026
Venice: Uncensored—
Output speed
Command A118 tok/s
seed-bootstrap · Aug 1, 2026
Venice: Uncensored—
Input priceVenice: Uncensored (+$2.3/1M)
Command A$2.5/1M
openrouter · Aug 17, 2026
Venice: Uncensored$0.2/1M
openrouter · Aug 17, 2026
Output priceVenice: Uncensored (+$9.1/1M)
Command A$10/1M
openrouter · Aug 17, 2026
Venice: Uncensored$0.9/1M
openrouter · Aug 17, 2026
Context windowCommand A (+128k)
Command A256k
openrouter · Aug 17, 2026
Venice: Uncensored128k
openrouter · Aug 17, 2026
BenchmarkCommand AVenice: UncensoredAdvantage Delta
Preference Elo
1,344
lmarena · Aug 17, 2026
——
LiveBench
56.2%
livebench · Aug 17, 2026
——
SWE-bench
42.6%
swebench · Aug 17, 2026
——
GPQA Diamond
66%
seed-bootstrap · Aug 1, 2026
——
Time to first token
175 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
118 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$2.5/1M
openrouter · Aug 17, 2026
$0.2/1M
openrouter · Aug 17, 2026
Venice: Uncensored (+$2.3/1M)
Output price
$10/1M
openrouter · Aug 17, 2026
$0.9/1M
openrouter · Aug 17, 2026
Venice: Uncensored (+$9.1/1M)
Context window
256k
openrouter · Aug 17, 2026
128k
openrouter · Aug 17, 2026
Command A (+128k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 91% with Venice: Uncensored
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
Venice: Uncensored$20.50 / mo
In: $7Out: $13.5
Estimated Cost Delta

Venice: Uncensored is estimated to save $217.00/month ($2,604/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Venice: Uncensored:Pick Venice: Uncensored when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatVenice: Uncensored

Lower output list price ($0.9/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionVenice: Uncensored

Venice: Uncensored is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatVenice: UncensoredLower output list price ($0.9/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGCommand ALarger window (256k).
Screenshots / visionVenice: UncensoredVenice: Uncensored 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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The real PNG is generated at /compare/command-a-vs-dolphin-mistral-24b-venice-edition/opengraph-image for crawlers.

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Cohere

Command A

Elo 1,344
LiveBench56.2%
SWE-bench42.6%
Speed118 tok/s
Output cost$10/1M
cognitivecomputations

Venice: Uncensored

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.9/1M

Frequently Asked Questions

Which is better overall, Command A or Venice: Uncensored?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Command A or Venice: Uncensored?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Venice: Uncensored output tokens are $0.9/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or Venice: Uncensored?
We do not have TTFT for both models.
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 Venice: Uncensored 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 Venice: Uncensored matchups →
Mistral Large 3 vs Command ADoubao Pro 1.5 vs Command AYi-Lightning vs Command AGemini 2.0 Flash Thinking vs Command AGemini 3 Flash vs Command AClaude Opus 4.5 vs Command A