gpt-oss-120b vs Inkling
Inkling leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 25.0 to 11.6, and gpt-oss-120b costs 8.1x less per output token ($0.50 vs $4.05 per million). Updated October 22, 2026; 57 benchmarks have a result for both.
gpt-oss-120b or Inkling: which to pick
Only Inkling has a coding score, 31.5 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 8.1x cheaper ($0.50 vs $4.05 per million) and a lower cost per solved task ($0.51 against $0.76).
- Shared results
- 57
- gpt-oss-120b only
- 24
- Inkling only
- 45
- 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 Inkling has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Inkling
Inkling leads, 25.0 against 11.6.
Same board, both measured
Agentic work
AA Agentic Index
Inkling
Inkling leads, 22.5 against 3.7.
Same board, both measured
Reasoning
GPQA Diamond
Inkling
Inkling leads, 87.1% against 78.5%.
Same board, both measured
Math
AIME
No call
Only gpt-oss-120b has a AIME result, 92.6%.
Directional only
Knowledge
MMLU Pro
Inkling
Inkling leads, 86.3% against 79.2%.
Same board, both measured
Web design
Design Arena: websites
Inkling
Inkling leads, 1224 against 967.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
Inkling
Inkling takes 524K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-120b
gpt-oss-120b $0.0003, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
gpt-oss-120b
gpt-oss-120b $0.51, Inkling $0.76.
Published attempt cost and pass rate
At a glance
- Coding index
- gpt-oss-120b not benchmarked, Inkling 31.5 from 6 benchmarks.
- Widest category
- Web design, 28.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- SWE-bench Verified (Vals AI): gpt-oss-120b 33.6% against Inkling 77.6%, 44.0 points apart on a 0 to 100 scale.
- Output price
- gpt-oss-120b $0.50 against Inkling $4.05 per million output tokens, 8.1x apart.
- Context window
- gpt-oss-120b takes 131K tokens, Inkling 524K.
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 | gpt-oss-120b | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 1 | 7 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 2 | 1 tie | |
| Knowledge | 0 | 8 | ||
| Web design | 0 | 6 | ||
| General | 0 | 20 | ||
| All shared boards | 1 | 55 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index17
| Benchmark | gpt-oss-120b | Inkling | Leader |
|---|---|---|---|
| Aider polyglot | 41.8% | Not measured | Only gpt-oss-120b measured |
| SWE-bench Verified | 26.0% | Not measured | Only gpt-oss-120b measured |
| LiveBench coding | Not measured | 64.0% | Only Inkling measured |
| LMArena WebDev | Not measured | 1414 | Only Inkling measured |
| AA Coding Index | 30.4 | 52.1 | Inkling |
| LiveCodeBench (Vals AI) | 83.2% | 85.5% | Inkling |
| SWE-bench Verified (Vals AI) | 33.6% | 77.6% | Inkling |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only Inkling measured |
| Vibe Code Bench (Vals AI) | Not measured | 19.2% | Only Inkling measured |
| Code migration (Vals AI) | Not measured | 11.8% | Only Inkling measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 47.6% | Only Inkling measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 7.3% | Only Inkling measured |
| SkillsBench (Vals AI) | Not measured | 26.1% | Only Inkling measured |
| CyberBench (Vals AI) | Not measured | 66.8% | Only Inkling measured |
| LiveCodeBench (Artificial Analysis run) | 87.8% | Not measured | Only gpt-oss-120b measured |
| SciCode | 34.0% | 47.0% | Inkling |
| Terminal-Bench Hard (Artificial Analysis run) | 23.5% | Not measured | Only gpt-oss-120b measured |
| Terminal-Bench | 18.7% | Not measured | Only gpt-oss-120b measured |
| FrontierCode | Not measured | 14.0% | Only Inkling measured |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | 48.2% | 32.3% | gpt-oss-120b |
| ALE-Bench | 575.6 | 946.0 | Inkling |
| LMArena Text: coding | 1379 | 1466 | Inkling |
| LMArena Text: software and IT | 1387 | 1465 | Inkling |
| LMArena WebDev: React | Not measured | 1404 | Only Inkling measured |
| LMArena WebDev: HTML | Not measured | 1399 | Only Inkling measured |
| SciCode | 7.7% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 10 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | gpt-oss-120b | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.6 | 25.0 | Inkling |
| Epoch Capabilities Index | 139.8 | 148.4 | Inkling |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | gpt-oss-120b | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 3.7 | 22.5 | Inkling |
| Design Arena: agents building web apps | Not measured | 1196 | Only Inkling measured |
| LiveBench research | Not measured | 59.9% | Only Inkling measured |
| LiveBench browser | Not measured | 16.0% | Only Inkling measured |
| LiveBench long agentic | Not measured | 14.1% | Only Inkling measured |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | Not measured | 46.6% | Only Inkling measured |
| Tax Agent Bench (Vals AI) | Not measured | 15.3% | Only Inkling measured |
| Legal Research Bench (Vals AI) | Not measured | 28.4% | Only Inkling measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 38.4% | Only Inkling measured |
| τ²-Bench Telecom | 65.8% | Not measured | Only gpt-oss-120b measured |
| APEX-Agents | 4.4% | 33.8% | Inkling |
| METR time horizons | 56.6% | Not measured | Only gpt-oss-120b measured |
| Vending-Bench 2 | -$22 | Not measured | Only gpt-oss-120b measured |
| BrowseComp-Plus | 67.0% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | gpt-oss-120b | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | 78.5% | 87.1% | Inkling |
| LiveBench reasoning | Not measured | 78.3% | Only Inkling measured |
| MMMU Pro (Vals AI) | Not measured | 78.5% | Only Inkling measured |
| GPQA Diamond (Artificial Analysis run) | 78.2% | 87.2% | Inkling |
| Humanity's Last Exam (Artificial Analysis run) | 19.6% | 31.9% | Inkling |
| GPQA Diamond (Epoch AI run) | 75.8% | 88.3% | Inkling |
| ARC-AGI | Not measured | 79.5% | Only Inkling measured |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | 22.1% | 50.0% | Inkling |
| Chess puzzles | Not measured | 21.0% | Only Inkling measured |
| Mystery game puzzles | 2.0% | Not measured | Only gpt-oss-120b measured |
| LMArena Text: hard prompts | 1364 | 1451 | Inkling |
| LMArena Text: expert | 1356 | 1466 | Inkling |
| LMArena Text: hard prompts in English | 1368 | 1448 | Inkling |
| Kagi LLM Benchmark | 58.6% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | gpt-oss-120b | Inkling | Leader |
|---|---|---|---|
| AIME | 92.6% | Not measured | Only gpt-oss-120b measured |
| MATH 500 (Vals AI) | 94.8% | Not measured | Only gpt-oss-120b measured |
| MGSM (Vals AI) | 92.0% | Not measured | Only gpt-oss-120b measured |
| AA Math Index | 93.4 | Not measured | Only gpt-oss-120b measured |
| AIME 2025 (Artificial Analysis run) | 93.4% | Not measured | Only gpt-oss-120b measured |
| OTIS Mock AIME | 88.9% | 88.9% | Tie |
| FrontierMath, tiers 1 to 3 | Not measured | 33.3% | Only Inkling measured |
| FrontierMath, tier 4 | Not measured | 4.9% | Only Inkling measured |
| ProofBench | Not measured | 0.0% | Only Inkling measured |
| LMArena Text: math | 1389 | 1479 | Inkling |
| LMArena Text: mathematical work | 1386 | 1460 | Inkling |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | gpt-oss-120b | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | 79.2% | 86.3% | Inkling |
| LegalBench (Vals AI) | 75.9% | 83.0% | Inkling |
| CaseLaw (Vals AI) | 48.8% | Not measured | Only gpt-oss-120b measured |
| CorpFin (Vals AI) | 58.2% | 68.6% | Inkling |
| TaxEval (Vals AI) | 71.6% | 75.3% | Inkling |
| MortgageTax (Vals AI) | Not measured | 64.0% | Only Inkling measured |
| MedQA (Vals AI) | 91.4% | Not measured | Only gpt-oss-120b measured |
| MedCode (Vals AI) | Not measured | 41.2% | Only Inkling measured |
| MMLU Pro (Artificial Analysis run) | 80.8% | Not measured | Only gpt-oss-120b measured |
| SimpleQA Verified | Not measured | 40.3% | Only Inkling measured |
| LMArena Text: science | 1382 | 1455 | Inkling |
| LMArena Text: medicine and healthcare | 1388 | 1447 | Inkling |
| LMArena Text: legal and government | 1355 | 1448 | Inkling |
| LMArena Text: business and finance | 1359 | 1438 | Inkling |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | gpt-oss-120b | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 967 | 1224 | Inkling |
| Design Arena: UI components | 924 | 1198 | Inkling |
| Design Arena: game dev | 992 | 1165 | Inkling |
| Design Arena: data viz | 987 | 1156 | Inkling |
| Design Arena: 3D | 901 | 1160 | Inkling |
| Design Arena: all code categories | 962 | 1205 | Inkling |
| Design Arena: SVG | Not measured | 1108 | Only Inkling measured |
| Design Arena: ASCII art | Not measured | 1089 | Only Inkling measured |
| LiveBench design | Not measured | 58.3% | Only Inkling measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index020
| Benchmark | gpt-oss-120b | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | Not measured | 72.8% | Only Inkling measured |
| Public Benefits Bench (Vals AI) | Not measured | 58.5% | Only Inkling measured |
| SAGE (Vals AI) | Not measured | 36.5% | Only Inkling measured |
| MedScribe (Vals AI) | Not measured | 85.4% | Only Inkling measured |
| Vals Multimodal Index | Not measured | 49.4% | Only Inkling measured |
| IFBench | 69.0% | Not measured | Only gpt-oss-120b measured |
| Long context reasoning (AA-LCR) | 52.0% | 77.3% | Inkling |
| DTBench | 76.3% | 87.5% | Inkling |
| LMCA | 22.1% | 37.6% | Inkling |
| Fiction.LiveBench | 44.4% | Not measured | Only gpt-oss-120b measured |
| Creative writing (Lech Mazur) | 77.1% | Not measured | Only gpt-oss-120b measured |
| Surface Evolver Bench | 25.0% | Not measured | Only gpt-oss-120b measured |
| LMArena Text | 1366 | 1442 | Inkling |
| LMArena Text: instruction following | 1318 | 1425 | Inkling |
| LMArena Text: creative writing | 1274 | 1390 | Inkling |
| LMArena Text: English | 1375 | 1442 | Inkling |
| LMArena Text: non-English | 1351 | 1434 | Inkling |
| LMArena Text: Chinese | 1385 | 1493 | Inkling |
| LMArena Text: German | 1353 | 1445 | Inkling |
| LMArena Text: Japanese | 1331 | 1429 | Inkling |
| LMArena Text: Korean | 1282 | 1403 | Inkling |
| LMArena Text: French | 1370 | 1455 | Inkling |
| LMArena Text: Spanish | 1389 | 1449 | Inkling |
| LMArena Text: Russian | 1343 | 1430 | Inkling |
| LMArena Text: Polish | 1353 | 1450 | Inkling |
| LMArena Text: multi-turn | 1340 | 1437 | Inkling |
| LMArena Text: longer queries | 1319 | 1435 | Inkling |
| LMArena Text: writing and language | 1306 | 1404 | Inkling |
| LMArena Text: entertainment and media | 1292 | 1394 | Inkling |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | gpt-oss-120b | Inkling | 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 | OpenAI gpt-oss-120b | Thinking Machines Inkling |
|---|---|---|
| Maker | OpenAI | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | August 5, 2025 | July 17, 2026 |
| Context window | 131K | 524K |
| Input $/Mtok | $0.10 | $0.975 |
| Output $/Mtok | $0.50 | $4.05 |
| Coding index | Not benchmarked | 31.5 |
| Independent measurements behind it | 1 | 6 |
| Cost per solved task | $0.51 | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is gpt-oss-120b better than Inkling for coding?
Only Inkling has a coding score, 31.5 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 8.1x cheaper ($0.50 vs $4.05 per million) and a lower cost per solved task ($0.51 against $0.76).
Which is cheaper, gpt-oss-120b or Inkling?
gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, gpt-oss-120b costs $0.51 and Inkling $0.76.
Which has the bigger context window, gpt-oss-120b or Inkling?
Inkling, with 524K tokens against 131K.
How many benchmarks is the gpt-oss-120b vs Inkling comparison based on?
57 benchmarks have a result for both models as of October 22, 2026. gpt-oss-120b's coding index rests on 1 independent benchmark and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.