Safety · Cohere

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

Command A Mini scores 73.7 on TruthfulQA, placing it #361 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
73.7
0–100 scale
Rank
#361
of 600
Percentile
40th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
17.4
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Command A Mini 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 Mini sits at #361 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 17.4 points. The median model in this index scores 76.3, which puts Command A Mini below the midpoint.

Cohere models average 71.9 on this benchmark. Command A Mini is 1.8 points above that provider line, so it is a stronger result than the average Cohere model.

Among mid-range models, the average is 71.6. Command A Mini is 2.1 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 73.7 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 $8.12 per million input tokens, Command A Mini 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
Auto OpenRouter 32768 $7.53 70.2
Fusion Reasoning OpenRouter 65536 $8.59 72.2
Hunyuan-Turbo Mini Tencent 8192 $6.59 68.3
Mixtral Chat Mistral AI 65536 $3.30 72.6
Command A Mini Cohere 8192 $8.12 71.0
Firefunction Fireworks AI 16384 $8.16 72.3
Llama 3 Modal Base Modal 16384 $3.21 72.2

Other benchmarks for Command A Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.0 351 42th
GPQA Diamond 66.8 333 45th
SWE-bench Verified 56.5 373 38th
HumanEval 76.4 321 47th
MATH-500 75.3 317 47th
AIME 2025 66.6 322 46th
LiveCodeBench 60.1 367 39th
IFEval 79.2 348 42th
HellaSwag 82.0 345 43th
MMMU 70.4 282 53th
Arena Elo 1369.4 319 47th

FAQ

What score does Command A Mini get on TruthfulQA?

Command A Mini scores 73.7 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Command A Mini rank on TruthfulQA?

It ranks #361 of 600 models, in the 40th percentile. The leader is GPT-5.1 Max at 91.1.

Is Command A Mini good at TruthfulQA?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Mini cost?

Command A Mini costs $8.12 per million input tokens and $31.21 per million output tokens.

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