Claude 3.7 Sonnet vs NVIDIA Nemotron Nano 9B V2
Wins 6 of 6 areas
Coding · Agents · Reasoning · Facts · Long documents · Following instructions
Wins 0 of 6 areas
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Claude 3.7 Sonnet is the stronger all-rounder.NVIDIA Nemotron Nano 9B V2 is cheaper.
Scores updated · 18 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 thinking20Claude 3.7 Sonnet2 of 3 tests · 1 tie
- CodingWriting and fixing software20Claude 3.7 Sonnet2 of 2 tests
- FactsGetting facts right instead of making them up20Claude 3.7 Sonnet2 of 2 tests
- AgentsCarrying out multi-step tasks on its own10Claude 3.7 Sonnet1 of 1 test
- Long documentsFinding answers in very long texts10Claude 3.7 Sonnet1 of 1 test
- Following instructionsDoing exactly what it is asked10Claude 3.7 Sonnet1 of 1 test
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 99% 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 Claude 3.7 Sonnet pulls ahead
- Reasons across sets of long documentsAA-LCR+29points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+20.7points ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+20.5points ahead
Where NVIDIA Nemotron Nano 9B V2 pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 18 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude 3.7 Sonnet
- Terminal-Bench HardClaude 3.7 Sonnet by 19.721.21.5+19.7
- SciCodeClaude 3.7 Sonnet by 18.340.322+18.3
ReasoningClaude 3.7 Sonnet
- GPQA DiamondClaude 3.7 Sonnet by 20.277.257+20.2
- Humanity's Last ExamClaude 3.7 Sonnet by 4.89.74.9+4.8
- CritPttie0.90tie
FactsClaude 3.7 Sonnet
- AA-Omniscience · Non-hallucinationClaude 3.7 Sonnet by 20.56039.5+20.5
- AA-Omniscience · AccuracyClaude 3.7 Sonnet by 16.22811.8+16.2
Following instructionsClaude 3.7 Sonnet
- IFBenchClaude 3.7 Sonnet by 20.748.327.6+20.7
Other results8 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.
- AA-OmniscienceClaude 3.7 Sonnet by 40.8-0.7-41.5+40.8
- τ²-Bench Telecom (AA run)Claude 3.7 Sonnet by 32.854.721.9+32.8
- Artificial Analysis Coding IndexClaude 3.7 Sonnet by 28.136.48.3+28.1
- AA Agentic IndexClaude 3.7 Sonnet by 27.6379.4+27.6
- AIME 2025NVIDIA Nemotron Nano 9B V2 by 17.354.872.1+17.3
- AA IntelligenceClaude 3.7 Sonnet by 10.317.77.4+10.3
- IFEvalClaude 3.7 Sonnet by 2.993.290.3+2.9
- MATH-500 (EM)NVIDIA Nemotron Nano 9B V2 by 1.696.297.8+1.6
Questions people ask
Which is better, Claude 3.7 Sonnet or NVIDIA Nemotron Nano 9B V2?
Claude 3.7 Sonnet wins all six areas where both have results: coding, agents, reasoning, facts, long documents and following instructions. NVIDIA Nemotron Nano 9B V2 wins none, but costs 99% less.
Which is better for coding?
Claude 3.7 Sonnet. It wins 2 of the 2 coding tests both models report; NVIDIA Nemotron Nano 9B V2 wins none.
Which is cheaper?
Claude 3.7 Sonnet costs $3.00 per million input tokens and $15.00 per million output tokens; NVIDIA Nemotron Nano 9B V2 costs $0.04 and $0.16. That makes NVIDIA Nemotron Nano 9B V2 about 99% cheaper for the same work.
How do you compare the two?
We use the 18 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 8 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.