Preference · Cohere

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

Embed 4 Pro scores 1316.6 on Arena Elo, placing it #399 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
1316.6
0–100 scale
Rank
#399
of 600
Percentile
34th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
185.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Embed 4 Pro 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 Pro sits at #399 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 185.3 points. The median model in this index scores 1373.8, which puts Embed 4 Pro below the midpoint.

Cohere models average 1339.8 on this benchmark. Embed 4 Pro is 23.2 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 Pro is 15.4 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 1316.6 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 $5.05 per million input tokens, Embed 4 Pro is above 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
Command A Nano Cohere 8192 $5.90 66.3
Molmo Base Allen Institute for AI 4096 $2.02 65.0
Nemotron Nano Base NVIDIA 8192 $1.85 65.0
Nova Lite Mini Amazon 16384 $5.43 65.0
Embed 4 Pro Cohere 4096 $5.05 63.5
Phi-3.5 Base Microsoft 65536 $2.24 66.6
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3

Other benchmarks for Embed 4 Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.3 404 33th
GPQA Diamond 61.3 397 34th
SWE-bench Verified 52.0 405 33th
HumanEval 68.0 414 31th
MATH-500 63.8 427 29th
AIME 2025 53.2 431 28th
LiveCodeBench 52.2 426 29th
IFEval 72.8 419 30th
TruthfulQA 66.8 433 28th
HellaSwag 78.6 397 34th
MMMU 60.5 423 30th

FAQ

What score does Embed 4 Pro get on Arena Elo?

Embed 4 Pro scores 1316.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Embed 4 Pro rank on Arena Elo?

It ranks #399 of 600 models, in the 34th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Embed 4 Pro 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 Pro cost?

Embed 4 Pro costs $5.05 per million input tokens and $19.40 per million output tokens.

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