Safety · Cohere

Embed 4 Mini on TruthfulQA: score, rank and what it means

Embed 4 Mini scores 60.5 on TruthfulQA, placing it #524 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
60.5
0–100 scale
Rank
#524
of 600
Percentile
13th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
30.6
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Embed 4 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, Embed 4 Mini sits at #524 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 30.6 points. The median model in this index scores 76.3, which puts Embed 4 Mini below the midpoint.

Cohere models average 71.9 on this benchmark. Embed 4 Mini is 11.4 points below that provider line, so it is a weaker result than the average Cohere model.

Among mid-range models, the average is 71.6. Embed 4 Mini is 11.1 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 60.5 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 $2.48 per million input tokens, Embed 4 Mini is below 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
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5
Llama 3 Lambda 8B Lambda 4096 $1.03 57.2
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0
Mistral Small 3 7B Mistral AI 4096 $0.89 55.2
Embed 4 Mini Cohere 4096 $2.48 55.8
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Llama 3 Novita 8B Novita AI 16384 $0.99 55.5

Other benchmarks for Embed 4 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.2 486 19th
GPQA Diamond 52.3 496 17th
SWE-bench Verified 43.4 485 19th
HumanEval 60.4 497 17th
MATH-500 54.6 523 13th
AIME 2025 43.9 508 15th
LiveCodeBench 42.9 517 14th
IFEval 67.4 495 18th
HellaSwag 73.0 482 20th
MMMU 51.8 533 11th
Arena Elo 1233.2 524 13th

FAQ

What score does Embed 4 Mini get on TruthfulQA?

Embed 4 Mini scores 60.5 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Embed 4 Mini rank on TruthfulQA?

It ranks #524 of 600 models, in the 13th percentile. The leader is GPT-5.1 Max at 91.1.

Is Embed 4 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 Embed 4 Mini cost?

Embed 4 Mini costs $2.48 per million input tokens and $9.98 per million output tokens.

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