Safety · Cohere

Command A on TruthfulQA: score, rank and what it means

Command A scores 81.2 on TruthfulQA, placing it #147 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
81.2
0–100 scale
Rank
#147
of 600
Percentile
76th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
9.9
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Command A highlighted. Longer bars mean higher scores.

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Command A sits at #147 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 9.9 points. The median model in this index scores 76.3, which puts Command A above the midpoint.

Cohere models average 71.9 on this benchmark. Command A is 9.3 points above that provider line, so it is a stronger result than the average Cohere model.

Among multimodal models, the average is 80.1. Command A is 1.1 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 81.2 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $13.30 per million input tokens, Command A is above the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Lightning Instruct 01.AI 128000 $4.16 76.5
Command A Turbo Cohere 32768 $13.53 79.8
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Qwen3-Coder Chat Alibaba Cloud 128000 $4.59 78.4
Command A Cohere 200000 $13.30 79.6
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
Kimi K1.5 Base Moonshot AI 65536 $4.34 77.4

Other benchmarks for Command A

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.3 173 71th
GPQA Diamond 74.2 161 73th
SWE-bench Verified 70.6 99 84th
HumanEval 83.1 159 74th
MATH-500 84.2 120 80th
AIME 2025 77.9 116 81th
LiveCodeBench 71.8 150 75th
IFEval 87.4 120 80th
HellaSwag 88.3 130 78th
MMMU 76.4 127 79th
Arena Elo 1419.7 152 75th

FAQ

What score does Command A get on TruthfulQA?

Command A scores 81.2 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Command A rank on TruthfulQA?

It ranks #147 of 600 models, in the 76th percentile. The leader is GPT-5.1 Max at 91.1.

Is Command A good at TruthfulQA?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the TruthfulQA score calculated?

TruthfulQA is a safety benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Command A cost?

Command A costs $13.30 per million input tokens and $67.41 per million output tokens.

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