Coding · Cohere

Command R+ 8B on SWE-bench Verified: score, rank and what it means

Command R+ 8B scores 42.7 on SWE-bench Verified, placing it #493 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
42.7
0–100 scale
Rank
#493
of 600
Percentile
18th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
39.0
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Command R+ 8B highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Command R+ 8B sits at #493 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 39.0 points. The median model in this index scores 61.0, which puts Command R+ 8B below the midpoint.

Cohere models average 56.0 on this benchmark. Command R+ 8B is 13.3 points below that provider line, so it is a weaker result than the average Cohere model.

Among small open-weight models, the average is 39.0. Command R+ 8B is 3.7 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 42.7 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 $1.21 per million input tokens, Command R+ 8B is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Baseten 7B Baseten 32768 $0.87 55.3
Mistral Small 3 7B Mistral AI 4096 $0.89 55.2
Llama 3 DeepInfra 8B DeepInfra 8192 $1.05 57.4
MiniMax-M2 1.5B MiniMax 16384 $0.84 54.6
Command R+ 8B Cohere 8192 $1.21 57.7
MiniMax-Text 7B MiniMax 16384 $1.10 57.7
Hunyuan-Large 8B Tencent 4096 $1.29 58.7

Other benchmarks for Command R+ 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.6 492 18th
GPQA Diamond 55.1 462 23th
HumanEval 61.3 477 21th
MATH-500 57.8 494 18th
AIME 2025 46.4 484 19th
LiveCodeBench 43.5 511 15th
IFEval 70.1 458 24th
TruthfulQA 63.4 483 20th
HellaSwag 74.1 454 24th
MMMU 57.7 460 23th
Arena Elo 1255.3 482 20th

FAQ

What score does Command R+ 8B get on SWE-bench Verified?

Command R+ 8B scores 42.7 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Command R+ 8B rank on SWE-bench Verified?

It ranks #493 of 600 models, in the 18th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Command R+ 8B good at SWE-bench Verified?

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 SWE-bench Verified score calculated?

SWE-bench Verified is a coding 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+ 8B cost?

Command R+ 8B costs $1.21 per million input tokens and $5.69 per million output tokens.

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