Claude Opus 4.7 vs Nemotron 3 Nano 30B A3B
Claude Opus 4.7 leads Nemotron 3 Nano 30B A3B on the Artificial Analysis Intelligence Index, 40.7 to 8.9, and Nemotron 3 Nano 30B A3B costs 113.6x less per output token ($0.22 vs $25.00 per million). Updated October 22, 2026; 37 benchmarks have a result for both.
Claude Opus 4.7 or Nemotron 3 Nano 30B A3B: which to pick
Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Nemotron 3 Nano 30B A3B has none, so the two cannot be ranked on coding.
Pick Nemotron 3 Nano 30B A3B for output tokens 113.6x cheaper ($0.22 vs $25.00 per million) and work measured by IFBench, where it leads.
- Shared results
- 37
- Claude Opus 4.7 only
- 72
- Nemotron 3 Nano 30B A3B only
- 5
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Opus 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 8.9.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.7
Claude Opus 4.7 leads, 38.6 against 1.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Claude Opus 4.7 has a GPQA Diamond result, 90.2%.
Directional only
Math
AIME
No call
Only Claude Opus 4.7 has a AIME result, 96.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Opus 4.7 has a MMLU Pro result, 89.9%.
Directional only
Long documents
Listed context window
Claude Opus 4.7
Claude Opus 4.7 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Nano 30B A3B
Claude Opus 4.7 $0.018, Nemotron 3 Nano 30B A3B $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Opus 4.7 has the number, $2.95.
Directional only
At a glance
- Coding index
- Claude Opus 4.7 67.5 from 4 benchmarks, Nemotron 3 Nano 30B A3B not benchmarked.
- Widest category
- Agentic work, 42.6 points apart on average over 2 shared benchmarks.
- Widest single gap
- AA Coding Index: Claude Opus 4.7 73.6 against Nemotron 3 Nano 30B A3B 14.4, 59.2 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $25.00 against Nemotron 3 Nano 30B A3B $0.22 per million output tokens, 113.6x apart.
- Context window
- Claude Opus 4.7 takes 1M tokens, Nemotron 3 Nano 30B A3B 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Claude Opus 4.7 | Bars | Nemotron 3 Nano 30B A3B | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 18 | 1 | ||
| All shared boards | 36 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| LMArena WebDev | 1558 | Not measured | Only Claude Opus 4.7 measured |
| AA Coding Index | 73.6 | 14.4 | Claude Opus 4.7 |
| LiveCodeBench (Vals AI) | 85.1% | Not measured | Only Claude Opus 4.7 measured |
| SWE-bench Verified (Vals AI) | 82.0% | Not measured | Only Claude Opus 4.7 measured |
| Vibe Code Bench (Vals AI) | 71.0% | Not measured | Only Claude Opus 4.7 measured |
| Code migration (Vals AI) | 43.9% | Not measured | Only Claude Opus 4.7 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 68.5% | Not measured | Only Claude Opus 4.7 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 74.1% | Only Nemotron 3 Nano 30B A3B measured |
| SciCode | Not measured | 30.6% | Only Nemotron 3 Nano 30B A3B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 54.5% | 13.6% | Claude Opus 4.7 |
| Terminal-Bench | 80.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierCode | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| GSO-Bench | 44.1% | Not measured | Only Claude Opus 4.7 measured |
| WeirdML | 76.4% | Not measured | Only Claude Opus 4.7 measured |
| MirrorCode | 31.1% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: coding | 1519 | 1378 | Claude Opus 4.7 |
| LMArena Text: software and IT | 1516 | 1383 | Claude Opus 4.7 |
| LMArena WebDev: React | 1560 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: HTML | 1554 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: from an image | 1577 | Not measured | Only Claude Opus 4.7 measured |
| SWE Atlas: Codebase QnA | 40.3% | Not measured | Only Claude Opus 4.7 measured |
| SWE Atlas: Refactoring | 48.6% | Not measured | Only Claude Opus 4.7 measured |
| SWE Atlas: Test Writing | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 8.9 | Claude Opus 4.7 |
| Epoch Capabilities Index | 156.8 | Not measured | Only Claude Opus 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | 1.0 | Claude Opus 4.7 |
| Finance Agent (Vals AI) | 51.5% | Not measured | Only Claude Opus 4.7 measured |
| Tax Agent Bench (Vals AI) | 23.7% | Not measured | Only Claude Opus 4.7 measured |
| Legal Research Bench (Vals AI) | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 63.7% | Not measured | Only Claude Opus 4.7 measured |
| τ²-Bench Telecom | 88.6% | 40.9% | Claude Opus 4.7 |
| APEX-Agents | 49.2% | Not measured | Only Claude Opus 4.7 measured |
| OSWorld 2.0 | 18.2% | Not measured | Only Claude Opus 4.7 measured |
| PostTrainBench | 28.6% | Not measured | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | $10,937 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Search | 1230 | Not measured | Only Claude Opus 4.7 measured |
| MCP Atlas | 79.1% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | Not measured | Only Claude Opus 4.7 measured |
| MMMU Pro (Vals AI) | 85.5% | Not measured | Only Claude Opus 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | 91.4% | 75.7% | Claude Opus 4.7 |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | 11.4% | Claude Opus 4.7 |
| GPQA Diamond (Epoch AI run) | 90.2% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI | 93.5% | Not measured | Only Claude Opus 4.7 measured |
| ARC-AGI-2 | 75.8% | Not measured | Only Claude Opus 4.7 measured |
| SimpleBench | 61.7% | Not measured | Only Claude Opus 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Claude Opus 4.7 measured |
| Mystery game puzzles | 28.0% | Not measured | Only Claude Opus 4.7 measured |
| EBR-bench | 19.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts | 1506 | 1348 | Claude Opus 4.7 |
| LMArena Text: expert | 1521 | 1355 | Claude Opus 4.7 |
| LMArena Text: hard prompts in English | 1508 | 1376 | Claude Opus 4.7 |
| LMArena Vision: diagrams | 1336 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: homework | 1337 | Not measured | Only Claude Opus 4.7 measured |
| Kagi LLM Benchmark | 80.7% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| AIME | 96.3% | Not measured | Only Claude Opus 4.7 measured |
| AA Math Index | Not measured | 91.0 | Only Nemotron 3 Nano 30B A3B measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 91.0% | Only Nemotron 3 Nano 30B A3B measured |
| OTIS Mock AIME | 97.8% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tiers 1 to 3 | 70.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tier 4 | 31.7% | Not measured | Only Claude Opus 4.7 measured |
| ProofBench | 54.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: math | 1498 | 1371 | Claude Opus 4.7 |
| LMArena Text: mathematical work | 1509 | 1375 | Claude Opus 4.7 |
| MathArena | 20.4% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| MMLU Pro | 89.9% | Not measured | Only Claude Opus 4.7 measured |
| LegalBench (Vals AI) | 85.3% | Not measured | Only Claude Opus 4.7 measured |
| CaseLaw (Vals AI) | 68.4% | Not measured | Only Claude Opus 4.7 measured |
| CorpFin (Vals AI) | 66.1% | Not measured | Only Claude Opus 4.7 measured |
| TaxEval (Vals AI) | 75.3% | Not measured | Only Claude Opus 4.7 measured |
| MortgageTax (Vals AI) | 70.3% | Not measured | Only Claude Opus 4.7 measured |
| MedCode (Vals AI) | 54.9% | Not measured | Only Claude Opus 4.7 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 79.4% | Only Nemotron 3 Nano 30B A3B measured |
| SimpleQA Verified | 51.7% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: science | 1508 | 1353 | Claude Opus 4.7 |
| LMArena Text: medicine and healthcare | 1495 | 1349 | Claude Opus 4.7 |
| LMArena Text: legal and government | 1504 | 1341 | Claude Opus 4.7 |
| LMArena Text: business and finance | 1490 | 1346 | Claude Opus 4.7 |
| FACTS Benchmark Suite | 45.5% | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 6 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 56.1% | Not measured | Only Claude Opus 4.7 measured |
| MedScribe (Vals AI) | 83.0% | Not measured | Only Claude Opus 4.7 measured |
| Vals Multimodal Index | 67.4% | Not measured | Only Claude Opus 4.7 measured |
| IFBench | 58.6% | 71.1% | Nemotron 3 Nano 30B A3B |
| Long context reasoning (AA-LCR) | 78.7% | 38.0% | Claude Opus 4.7 |
| DTBench | 94.7% | Not measured | Only Claude Opus 4.7 measured |
| LMCA | 52.2% | Not measured | Only Claude Opus 4.7 measured |
| Furniture assembly | 33.3% | Not measured | Only Claude Opus 4.7 measured |
| ExploitBench | 26.5% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text | 1490 | 1348 | Claude Opus 4.7 |
| LMArena Text: instruction following | 1498 | 1303 | Claude Opus 4.7 |
| LMArena Text: creative writing | 1486 | 1269 | Claude Opus 4.7 |
| LMArena Vision | 1317 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: English | 1496 | 1377 | Claude Opus 4.7 |
| LMArena Text: non-English | 1480 | 1320 | Claude Opus 4.7 |
| LMArena Text: Chinese | 1531 | 1383 | Claude Opus 4.7 |
| LMArena Text: German | 1495 | 1348 | Claude Opus 4.7 |
| LMArena Text: Japanese | 1474 | 1268 | Claude Opus 4.7 |
| LMArena Text: Korean | 1464 | 1269 | Claude Opus 4.7 |
| LMArena Text: French | 1503 | 1396 | Claude Opus 4.7 |
| LMArena Text: Spanish | 1494 | 1376 | Claude Opus 4.7 |
| LMArena Text: Russian | 1494 | 1304 | Claude Opus 4.7 |
| LMArena Text: Polish | 1489 | 1303 | Claude Opus 4.7 |
| LMArena Text: multi-turn | 1505 | 1319 | Claude Opus 4.7 |
| LMArena Text: longer queries | 1505 | 1300 | Claude Opus 4.7 |
| LMArena Text: writing and language | 1492 | 1283 | Claude Opus 4.7 |
| LMArena Text: entertainment and media | 1474 | 1293 | Claude Opus 4.7 |
| LMArena Vision: English | 1322 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: Chinese | 1371 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: reading text | 1327 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: humor | 1309 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: recognizing things | 1278 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: creative writing | 1326 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Document | 1495 | Not measured | Only Claude Opus 4.7 measured |
| EQ-Bench 4 | 1311 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | Nemotron 3 Nano 30B A3B | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Nemotron 3 Nano 30B A3B costs less
Repository review
50K input + 3K output tokens
Nemotron 3 Nano 30B A3B costs less
Agent loop
200K input + 10K output tokens
Nemotron 3 Nano 30B A3B costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Opus 4.7 | NVIDIA Nemotron 3 Nano 30B A3B |
|---|---|---|
| Maker | Anthropic | NVIDIA |
| Weights | No public weights listed | Open weights |
| Released | April 16, 2026 | December 14, 2025 |
| Context window | 1M | 262K |
| Input $/Mtok | $5.00 | $0.055 |
| Output $/Mtok | $25.00 | $0.22 |
| Coding index | 67.5 | Not benchmarked |
| Independent measurements behind it | 4 | 0 |
| Cost per solved task | $2.95 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than Nemotron 3 Nano 30B A3B for coding?
Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Nemotron 3 Nano 30B A3B has none, so the two cannot be ranked on coding. Pick Nemotron 3 Nano 30B A3B for output tokens 113.6x cheaper ($0.22 vs $25.00 per million) and work measured by IFBench, where it leads.
Which is cheaper, Claude Opus 4.7 or Nemotron 3 Nano 30B A3B?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Nemotron 3 Nano 30B A3B costs $0.055 and $0.22. Cost per solved task is known for Claude Opus 4.7 only.
Which has the bigger context window, Claude Opus 4.7 or Nemotron 3 Nano 30B A3B?
Claude Opus 4.7, with 1M tokens against 262K.
How many benchmarks is the Claude Opus 4.7 vs Nemotron 3 Nano 30B A3B comparison based on?
37 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Nemotron 3 Nano 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.