NVIDIA Nemotron Nano 9B V2 vs Qwen3 235B A22B
Wins 1 of 6 areas
Long documents
Wins 4 of 6 areas
Coding · Agents · Reasoning · Following instructions
Qwen3 235B A22B is the stronger all-rounder.NVIDIA Nemotron Nano 9B V2 is cheaper and better at long documents.
Scores updated · 19 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.
- ReasoningHard problems that need careful thinking02Qwen3 235B A22B2 of 3 tests · 1 tie
- CodingWriting and fixing software02Qwen3 235B A22B2 of 2 tests
- AgentsCarrying out multi-step tasks on its own01Qwen3 235B A22B1 of 1 test
- Following instructionsDoing exactly what it is asked01Qwen3 235B A22B1 of 1 test
- Long documentsFinding answers in very long texts10NVIDIA Nemotron Nano 9B V21 of 1 test
- FactsGetting facts right instead of making them up11Even1 each
Agents, long documents and following instructions rest on a single test each.
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 Nano 9B V2 costs 94% 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 Qwen3 235B A22B pulls ahead
- Code for real scientific research problemsSciCode+17.9points ahead
- Graduate-level biology, physics and chemistry questionsGPQA Diamond+13points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+11.1points ahead
Where NVIDIA Nemotron Nano 9B V2 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+17.1points ahead
Every test, side by side
All 19 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3 235B A22B
- SciCodeQwen3 235B A22B by 17.92239.9+17.9
- Terminal-Bench HardQwen3 235B A22B by 4.61.56.1+4.6
ReasoningQwen3 235B A22B
- GPQA DiamondQwen3 235B A22B by 135770+13
- Humanity's Last ExamQwen3 235B A22B by 6.14.911+6.1
- CritPttie00tie
FactsEven
- AA-Omniscience · Non-hallucinationNVIDIA Nemotron Nano 9B V2 by 17.139.522.4+17.1
- AA-Omniscience · AccuracyQwen3 235B A22B by 6.711.818.5+6.7
Long documentsNVIDIA Nemotron Nano 9B V2
- AA-LCRNVIDIA Nemotron Nano 9B V2 by 22.722.70+22.7
Following instructionsQwen3 235B A22B
- IFBenchQwen3 235B A22B by 11.127.638.7+11.1
Other results9 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.
- AIME 2025Qwen3 235B A22B by 9.472.181.5+9.4
- Artificial Analysis Coding IndexQwen3 235B A22B by 9.18.317.4+9.1
- AA Agentic IndexQwen3 235B A22B by 99.418.4+9
- IFEvalNVIDIA Nemotron Nano 9B V2 by 7.190.383.2+7.1
- MATH-500 (EM)NVIDIA Nemotron Nano 9B V2 by 6.697.891.2+6.6
- AA-OmniscienceNVIDIA Nemotron Nano 9B V2 by 3.2-41.5-44.7+3.2
- AA IntelligenceQwen3 235B A22B by 2.17.49.5+2.1
- τ²-Bench Telecom (AA run)Qwen3 235B A22B by 2.121.924+2.1
- LiveCodeBenchtie71.170.7tie
Questions people ask
Which is better, NVIDIA Nemotron Nano 9B V2 or Qwen3 235B A22B?
Qwen3 235B A22B wins four of the six areas where both have results: coding, agents, reasoning and following instructions. NVIDIA Nemotron Nano 9B V2 wins long documents, and costs 94% less. They are level on facts.
Which is better for coding?
Qwen3 235B A22B. It wins 2 of the 2 coding tests both models report; NVIDIA Nemotron Nano 9B V2 wins none.
Which is cheaper?
NVIDIA Nemotron Nano 9B V2 costs $0.04 per million input tokens and $0.16 per million output tokens; Qwen3 235B A22B costs $0.70 and $2.80. That makes NVIDIA Nemotron Nano 9B V2 about 94% cheaper for the same work.
How do you compare the two?
We use the 19 benchmark tests both models have published scores on. The verdict counts the 10 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 9 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.