Model comparison
Claude Opus 4.8 vs Nova Premier 1.0
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 38.3 on the Noometry Index. Nova Premier 1.0 costs 2.0× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Claude Opus 4.8 scores higher in 5 categories and Nova Premier 1.0 in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 4.8 leads 78.4 to 33.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 88.8% for Claude Opus 4.8 and 44.8% for Nova Premier 1.0.
- Nova Premier 1.0 is cheaper at $2.50 / $12.50 per million input/output tokens, against $5 / $25 for Claude Opus 4.8.
Side by side
| Claude Opus 4.8 | Nova Premier 1.0 | |
|---|---|---|
| Provider | Anthropic | Amazon |
| Noometry Index | 60.7 | 38.3 |
| Released | 2026-05-28 | 2025-04-30 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1M |
| Max output | 128K | 10K |
| Input $ / M tokens | $5 | $2.50 |
| Output $ / M tokens | $25 | $12.50 |
| Results tracked | 65 | 6 |
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Category by category
Coding Not comparable
Claude Opus 4.8: 59.9 (#12), Nova Premier 1.0: —
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| DeepSWE | 59% | — |
| FrontierCode | 46.5% | — |
| LMArena WebDev | 1556 | — |
| SciCode | 53.5% | — |
| GSO | 47.1% | — |
| WeirdML | 82.9% | — |
| LMArena Coding | 1490 | — |
| ALE-Bench | 1,564 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.8: 47.6 (#11), Nova Premier 1.0: —
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| APEX-Agents | 48.9% | — |
| OSWorld 2.0 | 20.6% | — |
| Remote Labor Index | 8.3% | — |
| τ²-bench Banking | 39.7% | — |
| DeepResearch Bench | 50.2% | — |
| PostTrainBench | 33.8% | — |
| GBAEval | 70.9% | — |
| GDP.pdf | 24% | — |
| LMArena Search | 1204 | — |
| Vending-Bench 2 | 5,787 | — |
Reasoning Claude Opus 4.8 leads
Claude Opus 4.8: 64.7 (#16), Nova Premier 1.0: 23.0 (#185)
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| Kagi LLM Benchmark | 88.8% | 44.8% |
| ARC-AGI-2 | 72.1% | — |
| SimpleBench | 64.8% | — |
| NYT Connections (extended) | 91.1% | — |
| ARC-AGI-1 | 92.5% | — |
| CritPt | 20.9% | — |
| Chess Puzzles | 34% | — |
| EnigmaEval | 23.5% | — |
| EBR-Bench | 28.6% | — |
| LMArena Hard Prompts | 1482 | — |
| Mystery Game Puzzles | 36% | — |
| DTBench | 94.9% | — |
| LMCA | 57.5% | — |
| Surface Evolver Bench | 87.5% | — |
| Bench to the Future 3 | 0.14 | — |
| Epoch Capabilities Index | 158.21 | — |
| ForecastBench | 59.9 | — |
Math Claude Opus 4.8 leads
Claude Opus 4.8: 78.4 (#13), Nova Premier 1.0: 33.8 (#199)
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 80% | — |
| FrontierMath Tier 4 | 56.1% | — |
| MathArena Final-Answer Competitions | 91.8% | — |
| OTIS Mock AIME 2024-2025 | 98.3% | — |
| ProofBench | 69% | — |
| Omni-MATH | — | 35% |
| LMArena Math | 1487 | — |
| FrontierMath (Feb 2025 set) | 47.2% | — |
| FrontierMath Tier 4 (v1) | 31.3% | — |
Knowledge Claude Opus 4.8 leads
Claude Opus 4.8: 61.3 (#29), Nova Premier 1.0: 35.8 (#180)
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| GPQA Diamond | 91% | — |
| SimpleQA Verified | 53% | — |
| MMLU-Pro | — | 72.6% |
| GPQA (HELM) | — | 51.8% |
| LMArena Expert | 1502 | — |
Multimodal Not comparable
Claude Opus 4.8: 42.9 (#26), Nova Premier 1.0: —
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| LMArena Vision | 1294 | — |
| Blueprint-Bench 2 | 14.5% | — |
| Furniture Assembly | 42.5% | — |
| LMArena Document | 1475 | — |
Multilingual Not comparable
Claude Opus 4.8: 55.2 (#33), Nova Premier 1.0: —
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| LMArena Non-English | 1450 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1481 | — |
| LMArena German | 1472 | — |
| LMArena Japanese | 1440 | — |
| LMArena Korean | 1432 | — |
| LMArena Russian | 1474 | — |
| LMArena Spanish | 1466 | — |
Instruction Following Claude Opus 4.8 leads
Claude Opus 4.8: 77.4 (#24), Nova Premier 1.0: 66.8 (#204)
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| IFEval | — | 80.3% |
| LMArena Instruction Following | 1476 | — |
Long Context Not comparable
Claude Opus 4.8: 45.4 (#35), Nova Premier 1.0: —
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| LMArena Longer Query | 1483 | — |
Writing & Preference Claude Opus 4.8 leads
Claude Opus 4.8: 72.0 (#16), Nova Premier 1.0: 51.0 (#178)
| Benchmark | Claude Opus 4.8 | Nova Premier 1.0 |
|---|---|---|
| LMArena Text | 1461 | — |
| LMArena Creative Writing | 1454 | — |
| EQ-Bench Creative Writing | 1840 | — |
| WildBench | — | 78.8% |
| EQ-Bench 4 | 1281 | — |
| LMArena Multi-Turn | 1476 | — |
Frequently asked questions
Is Claude Opus 4.8 better than Nova Premier 1.0?
Claude Opus 4.8 is the stronger model overall, scoring 60.7 to 38.3 on the Noometry Index. Nova Premier 1.0 costs 2.0× less per token, which makes it the better buy when Claude Opus 4.8's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.8 or Nova Premier 1.0?
Nova Premier 1.0 is cheaper. It lists at $2.50 per million input tokens and $12.50 per million output tokens; Claude Opus 4.8 lists at $5 and $25.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do Claude Opus 4.8 and Nova Premier 1.0 share?
1 benchmark has published results for both models. Claude Opus 4.8 has 65 scored results on Noometry and Nova Premier 1.0 has 6.