Claude Opus 4.7 vs NVIDIA Nemotron Nano 12B v2 VL
Wins 7 of 7 areas
Coding · Agents · Reasoning · Facts · Images and charts · Long documents · Following instructions
Wins 0 of 7 areas
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Claude Opus 4.7 is the stronger all-rounder.NVIDIA Nemotron Nano 12B v2 VL is cheaper.
Scores updated · 20 tests both models report · How we compare
Where each one wins
Tests won in each of the seven 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 thinking30Claude Opus 4.73 of 3 tests
- Images and chartsUnderstanding pictures, charts and video31Claude Opus 4.73 of 4 tests
- CodingWriting and fixing software20Claude Opus 4.72 of 2 tests
- AgentsCarrying out multi-step tasks on its own20Claude Opus 4.72 of 2 tests
- FactsGetting facts right instead of making them up20Claude Opus 4.72 of 2 tests
- Long documentsFinding answers in very long texts10Claude Opus 4.71 of 1 test
- Following instructionsDoing exactly what it is asked10Claude Opus 4.71 of 1 test
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 12B v2 VL costs 97% 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 Opus 4.7 pulls ahead
- Completes tasks by operating a computer desktopOSWorld-Verified+66.9points ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+50points ahead
- Reasoning about charts from research papersCharXiv (RQ)+49.7points ahead
Where NVIDIA Nemotron Nano 12B v2 VL pulls ahead
- Reads and reasons about text in imagesOCRBenchv2+4.3points ahead
Every test, side by side
All 20 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude Opus 4.7
- Terminal-Bench HardClaude Opus 4.7 by 4751.54.5+47
- SciCodeClaude Opus 4.7 by 28.354.526.2+28.3
AgentsClaude Opus 4.7
- OSWorld-VerifiedClaude Opus 4.7 by 66.97811.1+66.9
- GDPValClaude Opus 4.7 by 42.842.80+42.8
ReasoningClaude Opus 4.7
- Humanity's Last ExamClaude Opus 4.7 by 36.842.35.5+36.8
- GPQA DiamondClaude Opus 4.7 by 34.291.457.2+34.2
- CritPtClaude Opus 4.7 by 12120+12
FactsClaude Opus 4.7
- AA-Omniscience · Non-hallucinationClaude Opus 4.7 by 5057.77.7+50
- AA-Omniscience · AccuracyClaude Opus 4.7 by 34.348.914.6+34.3
Images and chartsClaude Opus 4.7
- CharXiv (RQ)Claude Opus 4.7 by 49.79141.3+49.7
- MMMU-ProClaude Opus 4.7 by 25.978.852.9+25.9
- MathVistaClaude Opus 4.7 by 8.984.475.5+8.9
- OCRBenchv2NVIDIA Nemotron Nano 12B v2 VL by 4.356.961.2+4.3
Following instructionsClaude Opus 4.7
- IFBenchClaude Opus 4.7 by 26.758.631.9+26.7
Other results5 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 Opus 4.7 by 91.527.3-64.2+91.5
- τ²-Bench Telecom (AA run)Claude Opus 4.7 by 67.388.621.3+67.3
- Artificial Analysis Coding IndexClaude Opus 4.7 by 61.973.611.7+61.9
- AA IntelligenceClaude Opus 4.7 by 33.240.77.5+33.2
- AA Agentic IndexClaude Opus 4.7 by 32.439.57.1+32.4
Questions people ask
Which is better, Claude Opus 4.7 or NVIDIA Nemotron Nano 12B v2 VL?
Claude Opus 4.7 wins all seven areas where both have results: coding, agents, reasoning, facts, images and charts, long documents and following instructions. NVIDIA Nemotron Nano 12B v2 VL wins none, but costs 97% less.
Which is better for coding?
Claude Opus 4.7. It wins 2 of the 2 coding tests both models report; NVIDIA Nemotron Nano 12B v2 VL wins none.
Which is cheaper?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; NVIDIA Nemotron Nano 12B v2 VL costs $0.20 and $0.60. That makes NVIDIA Nemotron Nano 12B v2 VL about 97% cheaper for the same work.
How do you compare the two?
We use the 20 benchmark tests both models have published scores on. The verdict counts the 15 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 5 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.