Coding · NVIDIA

Nemotron 4 8B on SWE-bench Verified: score, rank and what it means

Nemotron 4 8B scores 40.9 on SWE-bench Verified, placing it #512 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
40.9
0–100 scale
Rank
#512
of 600
Percentile
15th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
40.8
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Nemotron 4 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, Nemotron 4 8B sits at #512 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 40.8 points. The median model in this index scores 61.0, which puts Nemotron 4 8B below the midpoint.

NVIDIA models average 48.4 on this benchmark. Nemotron 4 8B is 7.5 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 39.0. Nemotron 4 8B is 1.9 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 40.9 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 $1.06 per million input tokens, Nemotron 4 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
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Mixtral Turbo 8B Together AI 4096 $0.75 54.1
Mixtral 8B Mistral AI 8192 $0.91 55.4
Llama 3.3 Groq 7B Groq 16384 $1.01 56.7
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Llama 3 Modal 7B Modal 4096 $0.88 55.2
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2

Other benchmarks for Nemotron 4 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.8 475 21th
GPQA Diamond 50.8 514 14th
HumanEval 61.2 484 19th
MATH-500 60.0 465 23th
AIME 2025 51.2 449 25th
LiveCodeBench 46.9 477 21th
IFEval 68.8 480 20th
TruthfulQA 65.5 454 24th
HellaSwag 71.7 506 16th
MMMU 55.6 492 18th
Arena Elo 1247.2 495 18th

FAQ

What score does Nemotron 4 8B get on SWE-bench Verified?

Nemotron 4 8B scores 40.9 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Nemotron 4 8B rank on SWE-bench Verified?

It ranks #512 of 600 models, in the 15th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Nemotron 4 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 Nemotron 4 8B cost?

Nemotron 4 8B costs $1.06 per million input tokens and $5.67 per million output tokens.

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