Preference · Cohere

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

Embed 4 Nano scores 1207.9 on Arena Elo, placing it #547 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
1207.9
0–100 scale
Rank
#547
of 600
Percentile
9th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
294.0
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Embed 4 Nano 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 Nano sits at #547 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 294.0 points. The median model in this index scores 1373.8, which puts Embed 4 Nano below the midpoint.

Cohere models average 1339.8 on this benchmark. Embed 4 Nano is 131.9 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 Nano is 124.1 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 1207.9 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 $1.48 per million input tokens, Embed 4 Nano 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
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
Yi-Lightning 1.5B 01.AI 4096 $0.54 50.0
Llama 3 DeepInfra 1.5B DeepInfra 32768 $0.48 48.8
Magistral 1.5B Mistral AI 4096 $0.67 52.7
Embed 4 Nano Cohere 8192 $1.48 49.7
MiniMax-Text 1.5B MiniMax 32768 $0.58 51.5
Llama 3.3 1.5B Meta AI 4096 $0.61 52.2

Other benchmarks for Embed 4 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 54.5 575 4th
GPQA Diamond 45.6 560 7th
SWE-bench Verified 33.1 571 5th
HumanEval 55.2 540 10th
MATH-500 52.4 537 11th
AIME 2025 33.5 575 4th
LiveCodeBench 40.3 535 11th
IFEval 61.0 564 6th
TruthfulQA 55.6 570 5th
HellaSwag 69.8 537 11th
MMMU 46.2 578 4th

FAQ

What score does Embed 4 Nano get on Arena Elo?

Embed 4 Nano scores 1207.9 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Embed 4 Nano rank on Arena Elo?

It ranks #547 of 600 models, in the 9th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Embed 4 Nano 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 Nano cost?

Embed 4 Nano costs $1.48 per million input tokens and $6.14 per million output tokens.

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