GPT-5 vs NVIDIA Nemotron 3 Nano 30B A3B
Wins 6 of 6 areas
Coding · Agents · Reasoning · Facts · Long documents · Following instructions
Wins 0 of 6 areas
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GPT-5 is the stronger all-rounder.NVIDIA Nemotron 3 Nano 30B A3B is cheaper.
Scores updated · 29 tests both models report · How we compare
Where each one wins
Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
- CodingWriting and fixing software50GPT-55 of 5 tests
- ReasoningHard problems that need careful thinking30GPT-53 of 3 tests
- AgentsCarrying out multi-step tasks on its own20GPT-52 of 2 tests
- Following instructionsDoing exactly what it is asked20GPT-52 of 2 tests
- FactsGetting facts right instead of making them up21GPT-52 of 3 tests
- Long documentsFinding answers in very long texts10GPT-51 of 1 test
Long documents rests on a single test.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
NVIDIA Nemotron 3 Nano 30B A3B costs 98% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where GPT-5 pulls ahead
- Reasons across sets of long documentsAA-LCR+40.2points ahead
- Fixes real GitHub issues in Python projectsSWE-bench Verified+36.1points ahead
- Keeps track of context across a multi-turn chatMulti-Challenge+31.1points ahead
Where NVIDIA Nemotron 3 Nano 30B A3B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 29 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGPT-5
- SWE-bench VerifiedGPT-5 by 36.174.938.8+36.1
- Terminal-Bench 2.1GPT-5 by 28.535.26.7+28.5
- Terminal-Bench HardGPT-5 by 1932.613.6+19
- LiveCodeBench v6GPT-5 by 18.78768.3+18.7
- SciCodeGPT-5 by 12.342.930.6+12.3
ReasoningGPT-5
- Humanity's Last ExamGPT-5 by 17.128.511.4+17.1
- GPQA DiamondGPT-5 by 9.785.475.7+9.7
- CritPtGPT-5 by 4.85.70.9+4.8
FactsGPT-5
- AA-Omniscience · AccuracyGPT-5 by 2340.317.3+23
- Vectara HHEM hallucination ratelower is betterNVIDIA Nemotron 3 Nano 30B A3B by 5.515.19.6+5.5
- AA-Omniscience · Non-hallucinationGPT-5 by 1.117.816.7+1.1
Following instructionsGPT-5
- Multi-ChallengeGPT-5 by 31.169.638.5+31.1
- IFBenchGPT-5 by 273.171.1+2
Other results13 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- τ²-Bench Telecom (AA run)GPT-5 by 43.984.840.9+43.9
- AA-OmniscienceGPT-5 by 42.9-8.7-51.6+42.9
- Terminal-BenchGPT-5 by 35.343.88.5+35.3
- τ²-Bench (Retail)GPT-5 by 24.281.156.9+24.2
- Artificial Analysis Coding IndexGPT-5 by 23.437.814.4+23.4
- HumanEvalGPT-5 by 18.493.475+18.4
- Tau2 airlineGPT-5 by 14.662.648+14.6
- AA IntelligenceGPT-5 by 14.1238.9+14.1
- MMLU-ProGPT-5 by 8.887.178.3+8.8
- vectara_avg_summary_lengthGPT-5 by 58.5 rating points162.7104.2+58.5 rating
- vectara_factual_consistencyNVIDIA Nemotron 3 Nano 30B A3B by 5.584.990.4+5.5
- AIME 2025NVIDIA Nemotron 3 Nano 30B A3B by 4.694.699.2+4.6
- vectara_answer_ratetie99.999.6tie
Questions people ask
Which is better, GPT-5 or NVIDIA Nemotron 3 Nano 30B A3B?
GPT-5 wins all six areas where both have results: coding, agents, reasoning, facts, long documents and following instructions. NVIDIA Nemotron 3 Nano 30B A3B wins none, but costs 98% less.
Which is better for coding?
GPT-5. It wins 5 of the 5 coding tests both models report; NVIDIA Nemotron 3 Nano 30B A3B wins none.
Which is cheaper?
GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; NVIDIA Nemotron 3 Nano 30B A3B costs $0.05 and $0.20. That makes NVIDIA Nemotron 3 Nano 30B A3B about 98% cheaper for the same work.
How do you compare the two?
We use the 29 benchmark tests both models have published scores on. The verdict counts the 16 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 13 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.