Commonsense · Cohere

Command R+ Base on HellaSwag: score, rank and what it means

Command R+ Base scores 83.7 on HellaSwag, placing it #289 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
83.7
0–100 scale
Rank
#289
of 600
Percentile
52th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
12.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Command R+ Base highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Command R+ Base sits at #289 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 12.4 points. The median model in this index scores 83.6, which puts Command R+ Base above the midpoint.

Cohere models average 79.9 on this benchmark. Command R+ Base is 3.8 points above that provider line, so it is a stronger result than the average Cohere model.

Among open-weight models, the average is 80.2. Command R+ Base is 3.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 83.7 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 $3.24 per million input tokens, Command R+ Base is below the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Grok 3 Mini xAI 200000 $9.67 73.9
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Nova Lite Max Amazon 200000 $9.79 73.4
Command R+ Base Cohere 65536 $3.24 71.6
Gemma 3 Google DeepMind 65536 $3.68 73.6
Llama 3 Anyscale Base Anyscale 65536 $3.23 72.9

Other benchmarks for Command R+ Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.1 301 50th
GPQA Diamond 66.8 334 44th
SWE-bench Verified 60.7 310 48th
HumanEval 76.6 314 48th
MATH-500 74.9 325 46th
AIME 2025 63.5 362 40th
LiveCodeBench 62.4 344 43th
IFEval 79.2 349 42th
TruthfulQA 73.9 356 41th
MMMU 69.5 315 48th
Arena Elo 1375.6 290 52th

FAQ

What score does Command R+ Base get on HellaSwag?

Command R+ Base scores 83.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Command R+ Base rank on HellaSwag?

It ranks #289 of 600 models, in the 52nd percentile. The leader is GPT-5.2 Max at 96.1.

Is Command R+ Base good at HellaSwag?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the HellaSwag score calculated?

HellaSwag is a commonsense 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 Command R+ Base cost?

Command R+ Base costs $3.24 per million input tokens and $14.70 per million output tokens.

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