Safety · Cohere

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

Embed 4 Turbo scores 67.6 on TruthfulQA, placing it #421 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
67.6
0–100 scale
Rank
#421
of 600
Percentile
30th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
23.5
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Embed 4 Turbo 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 Turbo sits at #421 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 23.5 points. The median model in this index scores 76.3, which puts Embed 4 Turbo below the midpoint.

Cohere models average 71.9 on this benchmark. Embed 4 Turbo is 4.3 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 Turbo is 4.0 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 67.6 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 $5.13 per million input tokens, Embed 4 Turbo 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
Zephyr Hugging Face 8192 $1.61 62.8
Firefunction Mini Fireworks AI 32768 $4.63 63.2
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Embed 4 Turbo Cohere 4096 $5.13 64.0
GPT-NeoX EleutherAI 16384 $1.57 61.7
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0

Other benchmarks for Embed 4 Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.6 392 35th
GPQA Diamond 58.4 422 30th
SWE-bench Verified 50.7 415 31th
HumanEval 70.0 392 35th
MATH-500 68.7 391 35th
AIME 2025 53.1 432 28th
LiveCodeBench 55.0 405 33th
IFEval 73.4 411 32th
HellaSwag 77.1 415 31th
MMMU 59.5 433 28th
Arena Elo 1324.1 394 34th

FAQ

What score does Embed 4 Turbo get on TruthfulQA?

Embed 4 Turbo scores 67.6 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Embed 4 Turbo rank on TruthfulQA?

It ranks #421 of 600 models, in the 30th percentile. The leader is GPT-5.1 Max at 91.1.

Is Embed 4 Turbo 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 Turbo cost?

Embed 4 Turbo costs $5.13 per million input tokens and $22.04 per million output tokens.

Related