Gemma 4 31B vs gpt-oss-120b
Gemma 4 31B leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 14.7 to 11.6, and Gemma 4 31B costs 1.3x less per output token ($0.40 vs $0.50 per million). Updated October 22, 2026; 46 benchmarks have a result for both.
Gemma 4 31B or gpt-oss-120b: which to pick
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.
Pick gpt-oss-120b for work measured by τ²-Bench Telecom or OTIS Mock AIME, where it leads.
- Shared results
- 46
- Gemma 4 31B only
- 25
- gpt-oss-120b only
- 35
- 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 Gemma 4 31B has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemma 4 31B
Gemma 4 31B leads, 14.7 against 11.6.
Same board, both measured
Agentic work
AA Agentic Index
Gemma 4 31B
Gemma 4 31B leads, 4.2 against 3.7.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only gpt-oss-120b has a GPQA Diamond result, 78.5%.
Directional only
Math
AIME
No call
Only gpt-oss-120b has a AIME result, 92.6%.
Directional only
Knowledge
MMLU Pro
No call
Only gpt-oss-120b has a MMLU Pro result, 79.2%.
Directional only
Web design
Design Arena: websites
No call
Only gpt-oss-120b has a Design Arena: websites result, 967.
Directional only
Long documents
Listed context window
Gemma 4 31B
Gemma 4 31B takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemma 4 31B $0.0003, gpt-oss-120b $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only gpt-oss-120b has the number, $0.51.
Directional only
At a glance
- Coding index
- Gemma 4 31B 39.0 from 2 benchmarks, gpt-oss-120b not benchmarked.
- Widest category
- General, 14.9 points apart on average over 19 shared benchmarks.
- Widest single gap
- LMArena Text: creative writing: Gemma 4 31B 1417 against gpt-oss-120b 1274, 23.7 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 31B $0.40 against gpt-oss-120b $0.50 per million output tokens, 1.3x apart.
- Context window
- Gemma 4 31B takes 262K 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 | Gemma 4 31B | Bars | gpt-oss-120b | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 6 | 0 | 1 tie | |
| Math | 2 | 1 | ||
| Knowledge | 5 | 0 | ||
| General | 19 | 0 | ||
| All shared boards | 43 | 2 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | Gemma 4 31B | gpt-oss-120b | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 41.8% | Only gpt-oss-120b measured |
| SWE-bench Verified | Not measured | 26.0% | Only gpt-oss-120b measured |
| LiveBench coding | 49.0% | Not measured | Only Gemma 4 31B measured |
| LMArena WebDev | 1367 | Not measured | Only Gemma 4 31B measured |
| AA Coding Index | 43.4 | 30.4 | Gemma 4 31B |
| LiveCodeBench (Vals AI) | Not measured | 83.2% | Only gpt-oss-120b measured |
| SWE-bench Verified (Vals AI) | Not measured | 33.6% | Only gpt-oss-120b measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 87.8% | Only gpt-oss-120b measured |
| SciCode | 45.5% | 34.0% | Gemma 4 31B |
| Terminal-Bench Hard (Artificial Analysis run) | 36.4% | 23.5% | Gemma 4 31B |
| Terminal-Bench | Not measured | 18.7% | Only gpt-oss-120b measured |
| WeirdML | 52.3% | 48.2% | Gemma 4 31B |
| ALE-Bench | 925.5 | 575.6 | Gemma 4 31B |
| LMArena Text: coding | 1459 | 1379 | Gemma 4 31B |
| LMArena Text: software and IT | 1463 | 1387 | Gemma 4 31B |
| LMArena WebDev: React | 1359 | Not measured | Only Gemma 4 31B measured |
| LMArena WebDev: HTML | 1380 | Not measured | Only Gemma 4 31B measured |
| SciCode | 8.9% | 7.7% | Gemma 4 31B |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 31B | gpt-oss-120b | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.7 | 11.6 | Gemma 4 31B |
| Epoch Capabilities Index | 143.0 | 139.8 | Gemma 4 31B |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Gemma 4 31B | gpt-oss-120b | Leader |
|---|---|---|---|
| AA Agentic Index | 4.2 | 3.7 | Gemma 4 31B |
| LiveBench research | 44.4% | Not measured | Only Gemma 4 31B measured |
| LiveBench browser | 4.0% | Not measured | Only Gemma 4 31B measured |
| LiveBench long agentic | 13.3% | Not measured | Only Gemma 4 31B measured |
| τ²-Bench Telecom | 65.5% | 65.8% | gpt-oss-120b |
| APEX-Agents | Not measured | 4.4% | Only gpt-oss-120b measured |
| METR time horizons | Not measured | 56.6% | Only gpt-oss-120b measured |
| Vending-Bench 2 | Not measured | -$22 | Only gpt-oss-120b measured |
| BrowseComp-Plus | Not measured | 67.0% | Only gpt-oss-120b measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemma 4 31B | gpt-oss-120b | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 78.5% | Only gpt-oss-120b measured |
| LiveBench reasoning | 68.3% | Not measured | Only Gemma 4 31B measured |
| GPQA Diamond (Artificial Analysis run) | 85.7% | 78.2% | Gemma 4 31B |
| Humanity's Last Exam (Artificial Analysis run) | 23.6% | 19.6% | Gemma 4 31B |
| GPQA Diamond (Epoch AI run) | 75.8% | 75.8% | Tie |
| SimpleBench | Not measured | 22.1% | Only gpt-oss-120b measured |
| Mystery game puzzles | Not measured | 2.0% | Only gpt-oss-120b measured |
| LMArena Text: hard prompts | 1448 | 1364 | Gemma 4 31B |
| LMArena Text: expert | 1464 | 1356 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1456 | 1368 | Gemma 4 31B |
| LMArena Vision: diagrams | 1283 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: homework | 1310 | Not measured | Only Gemma 4 31B measured |
| Kagi LLM Benchmark | 63.5% | 58.6% | Gemma 4 31B |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemma 4 31B | gpt-oss-120b | Leader |
|---|---|---|---|
| AIME | Not measured | 92.6% | Only gpt-oss-120b measured |
| MATH 500 (Vals AI) | Not measured | 94.8% | Only gpt-oss-120b measured |
| MGSM (Vals AI) | Not measured | 92.0% | Only gpt-oss-120b measured |
| AA Math Index | Not measured | 93.4 | Only gpt-oss-120b measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 93.4% | Only gpt-oss-120b measured |
| OTIS Mock AIME | 73.3% | 88.9% | gpt-oss-120b |
| LMArena Text: math | 1463 | 1389 | Gemma 4 31B |
| LMArena Text: mathematical work | 1465 | 1386 | Gemma 4 31B |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemma 4 31B | gpt-oss-120b | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 79.2% | Only gpt-oss-120b measured |
| LegalBench (Vals AI) | Not measured | 75.9% | Only gpt-oss-120b measured |
| CaseLaw (Vals AI) | 52.6% | 48.8% | Gemma 4 31B |
| CorpFin (Vals AI) | Not measured | 58.2% | Only gpt-oss-120b measured |
| TaxEval (Vals AI) | Not measured | 71.6% | Only gpt-oss-120b measured |
| MortgageTax (Vals AI) | 61.4% | Not measured | Only Gemma 4 31B measured |
| MedQA (Vals AI) | Not measured | 91.4% | Only gpt-oss-120b measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.8% | Only gpt-oss-120b measured |
| SimpleQA Verified | 10.4% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: science | 1457 | 1382 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1451 | 1388 | Gemma 4 31B |
| LMArena Text: legal and government | 1438 | 1355 | Gemma 4 31B |
| LMArena Text: business and finance | 1430 | 1359 | Gemma 4 31B |
| FACTS Benchmark Suite | 45.3% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemma 4 31B | gpt-oss-120b | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 967 | Only gpt-oss-120b measured |
| Design Arena: UI components | Not measured | 924 | Only gpt-oss-120b measured |
| Design Arena: game dev | Not measured | 992 | Only gpt-oss-120b measured |
| Design Arena: data viz | Not measured | 987 | Only gpt-oss-120b measured |
| Design Arena: 3D | Not measured | 901 | Only gpt-oss-120b measured |
| Design Arena: all code categories | Not measured | 962 | Only gpt-oss-120b measured |
| LiveBench design | 58.4% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
| Benchmark | Gemma 4 31B | gpt-oss-120b | Leader |
|---|---|---|---|
| LiveBench data analysis | 53.3% | Not measured | Only Gemma 4 31B measured |
| SAGE (Vals AI) | 55.0% | Not measured | Only Gemma 4 31B measured |
| IFBench | 75.6% | 69.0% | Gemma 4 31B |
| Long context reasoning (AA-LCR) | 69.7% | 52.0% | Gemma 4 31B |
| DTBench | 82.7% | 76.3% | Gemma 4 31B |
| LMCA | 39.3% | 22.1% | Gemma 4 31B |
| Fiction.LiveBench | Not measured | 44.4% | Only gpt-oss-120b measured |
| Creative writing (Lech Mazur) | Not measured | 77.1% | Only gpt-oss-120b measured |
| Surface Evolver Bench | 30.6% | 25.0% | Gemma 4 31B |
| LMArena Text | 1443 | 1366 | Gemma 4 31B |
| LMArena Text: instruction following | 1433 | 1318 | Gemma 4 31B |
| LMArena Text: creative writing | 1417 | 1274 | Gemma 4 31B |
| LMArena Vision | 1276 | Not measured | Only Gemma 4 31B measured |
| LMArena Text: English | 1451 | 1375 | Gemma 4 31B |
| LMArena Text: non-English | 1430 | 1351 | Gemma 4 31B |
| LMArena Text: Chinese | 1475 | 1385 | Gemma 4 31B |
| LMArena Text: German | Not measured | 1353 | Only gpt-oss-120b measured |
| LMArena Text: Japanese | Not measured | 1331 | Only gpt-oss-120b measured |
| LMArena Text: Korean | Not measured | 1282 | Only gpt-oss-120b measured |
| LMArena Text: French | 1436 | 1370 | Gemma 4 31B |
| LMArena Text: Spanish | 1442 | 1389 | Gemma 4 31B |
| LMArena Text: Russian | 1460 | 1343 | Gemma 4 31B |
| LMArena Text: Polish | 1433 | 1353 | Gemma 4 31B |
| LMArena Text: multi-turn | 1452 | 1340 | Gemma 4 31B |
| LMArena Text: longer queries | 1446 | 1319 | Gemma 4 31B |
| LMArena Text: writing and language | 1432 | 1306 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1405 | 1292 | Gemma 4 31B |
| LMArena Vision: English | 1271 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: Chinese | 1326 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: reading text | 1282 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: humor | 1280 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: captioning | 1218 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | 1226 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | 1285 | Not measured | Only Gemma 4 31B measured |
| LMArena Document | 1425 | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 31B | 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
Gemma 4 31B 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 | Google Gemma 4 31B | OpenAI gpt-oss-120b |
|---|---|---|
| Maker | OpenAI | |
| Weights | Open weights | Open weights |
| Released | April 2, 2026 | August 5, 2025 |
| Context window | 262K | 131K |
| Input $/Mtok | $0.14 | $0.10 |
| Output $/Mtok | $0.40 | $0.50 |
| Coding index | 39.0 | Not benchmarked |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | $0.51 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 31B better than gpt-oss-120b for coding?
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for work measured by τ²-Bench Telecom or OTIS Mock AIME, where it leads.
Which is cheaper, Gemma 4 31B or gpt-oss-120b?
Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; gpt-oss-120b costs $0.10 and $0.50. Cost per solved task is known for gpt-oss-120b only.
Which has the bigger context window, Gemma 4 31B or gpt-oss-120b?
Gemma 4 31B, with 262K tokens against 131K.
How many benchmarks is the Gemma 4 31B vs gpt-oss-120b comparison based on?
46 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 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.