Preference · Cohere

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

Embed 4 Mini scores 1233.2 on Arena Elo, placing it #524 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1233.2
0–100 scale
Rank
#524
of 600
Percentile
13th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
268.7
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Embed 4 Mini highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Embed 4 Mini sits at #524 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 268.7 points. The median model in this index scores 1373.8, which puts Embed 4 Mini below the midpoint.

Cohere models average 1339.8 on this benchmark. Embed 4 Mini is 106.6 points below that provider line, so it is a weaker result than the average Cohere model.

Among mid-range models, the average is 1332.0. Embed 4 Mini is 98.8 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 1233.2 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 $2.48 per million input tokens, Embed 4 Mini is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2
Llama 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6
Llama 3 Baseten 7B Baseten 32768 $0.87 55.3
Embed 4 Mini Cohere 4096 $2.48 55.8
Mixtral Turbo 8B Together AI 4096 $0.75 54.1
Firesearch Nano Fireworks AI 8192 $2.49 55.6

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
TruthfulQA 60.5 524 13th
HellaSwag 73.0 482 20th
MMMU 51.8 533 11th

FAQ

What score does Embed 4 Mini get on Arena Elo?

Embed 4 Mini scores 1233.2 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Embed 4 Mini rank on Arena Elo?

It ranks #524 of 600 models, in the 13th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Embed 4 Mini good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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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