Preference · Cohere

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

Embed 4 Max scores 1326.3 on Arena Elo, placing it #392 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
1326.3
0–100 scale
Rank
#392
of 600
Percentile
35th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
175.6
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Embed 4 Max 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 Max sits at #392 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 175.6 points. The median model in this index scores 1373.8, which puts Embed 4 Max below the midpoint.

Cohere models average 1339.8 on this benchmark. Embed 4 Max is 13.5 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 Max is 5.7 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 1326.3 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 $5.68 per million input tokens, Embed 4 Max 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
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
Molmo Allen Institute for AI 32768 $2.49 68.5
Sonar Pro Nano Perplexity 32768 $5.50 66.1
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Embed 4 Max Cohere 8192 $5.68 66.1
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
Embed 4 Turbo Cohere 4096 $5.13 64.0

Other benchmarks for Embed 4 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.5 375 38th
GPQA Diamond 59.0 415 31th
SWE-bench Verified 55.1 383 36th
HumanEval 69.6 401 33th
MATH-500 64.8 420 30th
AIME 2025 61.5 377 37th
LiveCodeBench 58.2 386 36th
IFEval 75.3 395 34th
TruthfulQA 68.3 411 32th
HellaSwag 76.9 417 31th
MMMU 66.1 370 38th

FAQ

What score does Embed 4 Max get on Arena Elo?

Embed 4 Max scores 1326.3 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Embed 4 Max rank on Arena Elo?

It ranks #392 of 600 models, in the 35th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Embed 4 Max 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 Max cost?

Embed 4 Max costs $5.68 per million input tokens and $21.60 per million output tokens.

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