Claude Opus 4.5 vs gpt-oss-120b
Claude Opus 4.5 leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 29.1 to 11.6, and gpt-oss-120b costs 50.0x less per output token ($0.50 vs $25.00 per million). Updated October 22, 2026; 72 benchmarks have a result for both.
Claude Opus 4.5 or gpt-oss-120b: which to pick
Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.
Pick gpt-oss-120b for output tokens 50.0x cheaper ($0.50 vs $25.00 per million) and a lower cost per solved task ($0.51 against $1.37).
- Shared results
- 72
- Claude Opus 4.5 only
- 40
- gpt-oss-120b only
- 13
- Like-for-like categories
- 8 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 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.5
Claude Opus 4.5 leads, 29.1 against 11.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only gpt-oss-120b has a AA Agentic Index result, 3.7.
Directional only
Reasoning
GPQA Diamond
Claude Opus 4.5
Claude Opus 4.5 leads, 85.9% against 78.5%.
Same board, both measured
Math
AIME
Claude Opus 4.5
Claude Opus 4.5 leads, 95.4% against 92.6%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.5
Claude Opus 4.5 leads, 87.3% against 79.2%.
Same board, both measured
Web design
Design Arena: websites
Claude Opus 4.5
Claude Opus 4.5 leads, 1247 against 968.
Same board, both measured
Long documents
Listed context window
Claude Opus 4.5
Claude Opus 4.5 takes 200K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-120b
Claude Opus 4.5 $0.018, gpt-oss-120b $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
gpt-oss-120b
Claude Opus 4.5 $1.37, gpt-oss-120b $0.51.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.5 44.0 from 3 benchmarks, gpt-oss-120b not benchmarked.
- Widest category
- Web design, 34.9 points apart on average over 6 shared benchmarks.
- Widest single gap
- SWE-bench Verified: Claude Opus 4.5 79.2% against gpt-oss-120b 26.0%, 53.2 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.5 $25.00 against gpt-oss-120b $0.50 per million output tokens, 50.0x apart.
- Context window
- Claude Opus 4.5 takes 200K tokens, gpt-oss-120b 131K.
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 4.5 | Bars | gpt-oss-120b | Ties |
|---|---|---|---|---|
| Coding | 8 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 10 | 0 | ||
| Math | 4 | 3 | ||
| Knowledge | 13 | 0 | ||
| Web design | 6 | 0 | ||
| General | 21 | 1 | ||
| All shared boards | 67 | 5 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index81
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 41.8% | Only gpt-oss-120b measured |
| SWE-bench Verified | 79.2% | 26.0% | Claude Opus 4.5 |
| SWE-bench (full test set) | 52.6% | Not measured | Only Claude Opus 4.5 measured |
| SWE-bench Multilingual | 70.7% | Not measured | Only Claude Opus 4.5 measured |
| LMArena WebDev | 1494 | Not measured | Only Claude Opus 4.5 measured |
| AA Coding Index | Not measured | 30.4 | Only gpt-oss-120b measured |
| LiveCodeBench (Vals AI) | 83.7% | 83.2% | Claude Opus 4.5 |
| SWE-bench Verified (Vals AI) | 76.4% | 33.6% | Claude Opus 4.5 |
| Vibe Code Bench (Vals AI) | 20.6% | Not measured | Only Claude Opus 4.5 measured |
| LiveCodeBench (Artificial Analysis run) | 87.1% | 87.8% | gpt-oss-120b |
| SciCode | Not measured | 34.0% | Only gpt-oss-120b measured |
| Terminal-Bench Hard (Artificial Analysis run) | 47.0% | 23.5% | Claude Opus 4.5 |
| Terminal-Bench | 63.1% | 18.7% | Claude Opus 4.5 |
| GSO-Bench | 26.5% | Not measured | Only Claude Opus 4.5 measured |
| WeirdML | 63.7% | 48.2% | Claude Opus 4.5 |
| Cybench | 82.0% | Not measured | Only Claude Opus 4.5 measured |
| ALE-Bench | Not measured | 575.6 | Only gpt-oss-120b measured |
| LMArena Text: coding | 1503 | 1379 | Claude Opus 4.5 |
| LMArena Text: software and IT | 1483 | 1387 | Claude Opus 4.5 |
| LMArena WebDev: React | 1478 | Not measured | Only Claude Opus 4.5 measured |
| LMArena WebDev: HTML | 1510 | Not measured | Only Claude Opus 4.5 measured |
| SciCode | Not measured | 7.7% | Only gpt-oss-120b measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.1 | 11.6 | Claude Opus 4.5 |
| Epoch Capabilities Index | 150.1 | 139.8 | Claude Opus 4.5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 3.7 | Only gpt-oss-120b measured |
| Design Arena: agents building web apps | 1159 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building full-stack apps | 1156 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building mobile apps | 1188 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: agents building Android apps | 1176 | Not measured | Only Claude Opus 4.5 measured |
| τ²-Bench Telecom | 89.5% | 65.8% | Claude Opus 4.5 |
| APEX-Agents | Not measured | 4.4% | Only gpt-oss-120b measured |
| METR time horizons | 75.0% | 56.6% | Claude Opus 4.5 |
| Remote Labor Index | 3.8% | Not measured | Only Claude Opus 4.5 measured |
| GDPval | 45.5% | Not measured | Only Claude Opus 4.5 measured |
| BALROG | 43.5% | Not measured | Only Claude Opus 4.5 measured |
| DeepResearch Bench | 54.8% | Not measured | Only Claude Opus 4.5 measured |
| OSWorld | 66.3% | Not measured | Only Claude Opus 4.5 measured |
| Vending-Bench 2 | $4,967 | -$22 | Claude Opus 4.5 |
| Berkeley Function Calling Leaderboard (BFCL) | 77.5% | Not measured | Only Claude Opus 4.5 measured |
| BrowseComp-Plus | Not measured | 67.0% | Only gpt-oss-120b measured |
| MCP Atlas | 69.8% | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | Leader |
|---|---|---|---|
| GPQA Diamond | 85.9% | 78.5% | Claude Opus 4.5 |
| MMMU Pro (Vals AI) | 83.0% | Not measured | Only Claude Opus 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | 86.6% | 78.2% | Claude Opus 4.5 |
| Humanity's Last Exam (Artificial Analysis run) | 30.1% | 19.6% | Claude Opus 4.5 |
| GPQA Diamond (Epoch AI run) | 86.0% | 75.8% | Claude Opus 4.5 |
| ARC-AGI | 80.0% | Not measured | Only Claude Opus 4.5 measured |
| ARC-AGI-2 | 37.6% | Not measured | Only Claude Opus 4.5 measured |
| SimpleBench | 62.0% | 22.1% | Claude Opus 4.5 |
| Chess puzzles | 14.0% | Not measured | Only Claude Opus 4.5 measured |
| Mystery game puzzles | 22.0% | 2.0% | Claude Opus 4.5 |
| EBR-bench | 14.3% | Not measured | Only Claude Opus 4.5 measured |
| VPCT | 40.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: hard prompts | 1476 | 1364 | Claude Opus 4.5 |
| LMArena Text: expert | 1487 | 1356 | Claude Opus 4.5 |
| LMArena Text: hard prompts in English | 1482 | 1368 | Claude Opus 4.5 |
| Kagi LLM Benchmark | 80.2% | 58.6% | Claude Opus 4.5 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | Leader |
|---|---|---|---|
| AIME | 95.4% | 92.6% | Claude Opus 4.5 |
| MATH 500 (Vals AI) | Not measured | 94.8% | Only gpt-oss-120b measured |
| MGSM (Vals AI) | 95.2% | 92.0% | Claude Opus 4.5 |
| AA Math Index | 91.3 | 93.4 | gpt-oss-120b |
| AIME 2025 (Artificial Analysis run) | 91.3% | 93.4% | gpt-oss-120b |
| OTIS Mock AIME | 86.1% | 88.9% | gpt-oss-120b |
| FrontierMath, tiers 1 to 3 | 34.4% | Not measured | Only Claude Opus 4.5 measured |
| FrontierMath, tier 4 | 4.9% | Not measured | Only Claude Opus 4.5 measured |
| ProofBench | 36.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: math | 1463 | 1389 | Claude Opus 4.5 |
| LMArena Text: mathematical work | 1468 | 1386 | Claude Opus 4.5 |
| MathArena | Not measured | 15.1% | Only gpt-oss-120b measured |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index130
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | 79.2% | Claude Opus 4.5 |
| LegalBench (Vals AI) | 84.6% | 75.9% | Claude Opus 4.5 |
| CaseLaw (Vals AI) | 62.6% | 48.8% | Claude Opus 4.5 |
| CorpFin (Vals AI) | 65.1% | 58.2% | Claude Opus 4.5 |
| TaxEval (Vals AI) | 74.9% | 71.6% | Claude Opus 4.5 |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Claude Opus 4.5 measured |
| MedQA (Vals AI) | 95.9% | 91.4% | Claude Opus 4.5 |
| MedCode (Vals AI) | 49.2% | Not measured | Only Claude Opus 4.5 measured |
| MMLU Pro (Artificial Analysis run) | 89.5% | 80.8% | Claude Opus 4.5 |
| SimpleQA Verified | 45.7% | Not measured | Only Claude Opus 4.5 measured |
| GeoBench | 75.0% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text: science | 1454 | 1382 | Claude Opus 4.5 |
| LMArena Text: medicine and healthcare | 1444 | 1388 | Claude Opus 4.5 |
| LMArena Text: legal and government | 1459 | 1355 | Claude Opus 4.5 |
| LMArena Text: business and finance | 1448 | 1359 | Claude Opus 4.5 |
| FACTS Benchmark Suite | 43.9% | Not measured | Only Claude Opus 4.5 measured |
| PRBench Finance | 46.2% | 43.8% | Claude Opus 4.5 |
| PRBench Legal | 44.2% | 40.2% | Claude Opus 4.5 |
| Neither model has a result on the other 2 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | Leader |
|---|---|---|---|
| Design Arena: websites | 1247 | 968 | Claude Opus 4.5 |
| Design Arena: UI components | 1236 | 924 | Claude Opus 4.5 |
| Design Arena: game dev | 1228 | 991 | Claude Opus 4.5 |
| Design Arena: data viz | 1243 | 987 | Claude Opus 4.5 |
| Design Arena: 3D | 1213 | 901 | Claude Opus 4.5 |
| Design Arena: all code categories | 1241 | 962 | Claude Opus 4.5 |
| Design Arena: SVG | 1180 | Not measured | Only Claude Opus 4.5 measured |
| Design Arena: ASCII art | 1190 | Not measured | Only Claude Opus 4.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index211
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 52.1% | Not measured | Only Claude Opus 4.5 measured |
| MedScribe (Vals AI) | 85.3% | Not measured | Only Claude Opus 4.5 measured |
| IFBench | 58.0% | 69.0% | gpt-oss-120b |
| Long context reasoning (AA-LCR) | 77.3% | 52.0% | Claude Opus 4.5 |
| DTBench | 89.9% | 76.3% | Claude Opus 4.5 |
| LMCA | 44.5% | 22.1% | Claude Opus 4.5 |
| Fiction.LiveBench | Not measured | 44.4% | Only gpt-oss-120b measured |
| Creative writing (Lech Mazur) | Not measured | 77.1% | Only gpt-oss-120b measured |
| CL-bench | 21.1% | Not measured | Only Claude Opus 4.5 measured |
| Surface Evolver Bench | Not measured | 25.0% | Only gpt-oss-120b measured |
| Furniture assembly | 28.3% | Not measured | Only Claude Opus 4.5 measured |
| LMArena Text | 1451 | 1366 | Claude Opus 4.5 |
| LMArena Text: instruction following | 1478 | 1318 | Claude Opus 4.5 |
| LMArena Text: creative writing | 1445 | 1274 | Claude Opus 4.5 |
| LMArena Text: English | 1461 | 1375 | Claude Opus 4.5 |
| LMArena Text: non-English | 1438 | 1351 | Claude Opus 4.5 |
| LMArena Text: Chinese | 1470 | 1385 | Claude Opus 4.5 |
| LMArena Text: German | 1449 | 1353 | Claude Opus 4.5 |
| LMArena Text: Japanese | 1417 | 1331 | Claude Opus 4.5 |
| LMArena Text: Korean | 1424 | 1282 | Claude Opus 4.5 |
| LMArena Text: French | 1471 | 1370 | Claude Opus 4.5 |
| LMArena Text: Spanish | 1457 | 1389 | Claude Opus 4.5 |
| LMArena Text: Russian | 1447 | 1343 | Claude Opus 4.5 |
| LMArena Text: Polish | 1439 | 1353 | Claude Opus 4.5 |
| LMArena Text: multi-turn | 1466 | 1340 | Claude Opus 4.5 |
| LMArena Text: longer queries | 1479 | 1319 | Claude Opus 4.5 |
| LMArena Text: writing and language | 1452 | 1306 | Claude Opus 4.5 |
| LMArena Text: entertainment and media | 1434 | 1292 | Claude Opus 4.5 |
| LMArena Document | 1462 | Not measured | Only Claude Opus 4.5 measured |
| MultiChallenge | 59.0% | 45.3% | Claude Opus 4.5 |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.5 | gpt-oss-120b | 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
gpt-oss-120b costs less
Repository review
50K input + 3K output tokens
gpt-oss-120b costs less
Agent loop
200K input + 10K output tokens
gpt-oss-120b 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 4.5 | OpenAI gpt-oss-120b |
|---|---|---|
| Maker | Anthropic | OpenAI |
| Weights | No public weights listed | Open weights |
| Released | November 24, 2025 | August 5, 2025 |
| Context window | 200K | 131K |
| Input $/Mtok | $5.00 | $0.10 |
| Output $/Mtok | $25.00 | $0.50 |
| Coding index | 44.0 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $1.37 | $0.51 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.5 better than gpt-oss-120b for coding?
Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 50.0x cheaper ($0.50 vs $25.00 per million) and a lower cost per solved task ($0.51 against $1.37).
Which is cheaper, Claude Opus 4.5 or gpt-oss-120b?
Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and gpt-oss-120b $0.51.
Which has the bigger context window, Claude Opus 4.5 or gpt-oss-120b?
Claude Opus 4.5, with 200K tokens against 131K.
How many benchmarks is the Claude Opus 4.5 vs gpt-oss-120b comparison based on?
72 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks and gpt-oss-120b's on 1. Where only one model has a result, the page says so instead of naming a winner.