Gemma 4 26B A4B vs o4 Mini
Gemma 4 26B A4B and o4 Mini tie on the Artificial Analysis Intelligence Index at 16.7, and Gemma 4 26B A4B costs 7.3x less per output token ($0.60 vs $4.40 per million). Updated October 21, 2026; 48 benchmarks have a result for both.
Gemma 4 26B A4B or o4 Mini: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemma 4 26B A4B for output tokens 7.3x cheaper ($0.60 vs $4.40 per million) and a larger context window (262K against 200K tokens).
- Shared results
- 48
- Gemma 4 26B A4B only
- 7
- o4 Mini only
- 50
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Tied at 16.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 4 26B A4B has a AA Agentic Index result, 2.9.
Directional only
Reasoning
GPQA Diamond
No call
Only o4 Mini has a GPQA Diamond result, 74.5%.
Directional only
Math
AIME
No call
Only o4 Mini has a AIME result, 83.7%.
Directional only
Knowledge
MMLU Pro
No call
Only o4 Mini has a MMLU Pro result, 80.6%.
Directional only
Web design
Design Arena: websites
No call
Only o4 Mini has a Design Arena: websites result, 985.
Directional only
Long documents
Listed context window
Gemma 4 26B A4B
Gemma 4 26B A4B takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
Gemma 4 26B A4B $0.0004, o4 Mini $0.0033 per turn.
List prices
At a glance
- Coding index
- Gemma 4 26B A4B not benchmarked, o4 Mini not benchmarked.
- Widest category
- Knowledge, 15.2 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena Text: Chinese: Gemma 4 26B A4B 1495 against o4 Mini 1354, 23.6 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 26B A4B $0.60 against o4 Mini $4.40 per million output tokens, 7.3x apart.
- Context window
- Gemma 4 26B A4B takes 262K tokens, o4 Mini 200K.
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 26B A4B | Bars | o4 Mini | Ties |
|---|---|---|---|---|
| Coding | 3 | 1 | ||
| Intelligence | 0 | 1 | 1 tie | |
| Agentic work | 0 | 1 | ||
| Reasoning | 7 | 1 | ||
| Math | 3 | 0 | ||
| Knowledge | 5 | 0 | ||
| General | 23 | 2 | ||
| All shared boards | 41 | 6 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
| Benchmark | Gemma 4 26B A4B | o4 Mini | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 72.0% | Only o4 Mini measured |
| SWE-bench Verified | Not measured | 64.6% | Only o4 Mini measured |
| SWE-bench Multimodal | Not measured | 33.9% | Only o4 Mini measured |
| LMArena WebDev | 1360 | Not measured | Only Gemma 4 26B A4B measured |
| AA Coding Index | 39.3 | Not measured | Only Gemma 4 26B A4B measured |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only o4 Mini measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 85.9% | Only o4 Mini measured |
| SciCode | 40.0% | Not measured | Only Gemma 4 26B A4B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 15.2% | Gemma 4 26B A4B |
| GSO-Bench | Not measured | 3.6% | Only o4 Mini measured |
| WeirdML | 35.2% | 52.6% | o4 Mini |
| ALE-Bench | 927.2 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: coding | 1446 | 1368 | Gemma 4 26B A4B |
| LMArena Text: software and IT | 1454 | 1367 | Gemma 4 26B A4B |
| LMArena WebDev: React | 1351 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena WebDev: HTML | 1362 | Not measured | Only Gemma 4 26B A4B measured |
| SciCode | Not measured | 10.8% | Only o4 Mini measured |
| Neither model has a result on the other 22 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 26B A4B | o4 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | 16.7 | Tie |
| Epoch Capabilities Index | 141.9 | 145.5 | o4 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 26B A4B | o4 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 2.9 | Not measured | Only Gemma 4 26B A4B measured |
| τ²-Bench Telecom | 43.6% | 55.6% | o4 Mini |
| METR time horizons | Not measured | 63.9% | Only o4 Mini measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 53.2% | Only o4 Mini measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Gemma 4 26B A4B | o4 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 74.5% | Only o4 Mini measured |
| MMMU Pro (Vals AI) | Not measured | 79.7% | Only o4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 79.2% | 78.4% | Gemma 4 26B A4B |
| Humanity's Last Exam (Artificial Analysis run) | 19.3% | 16.5% | Gemma 4 26B A4B |
| GPQA Diamond (Epoch AI run) | 73.2% | 79.6% | o4 Mini |
| ARC-AGI | Not measured | 58.7% | Only o4 Mini measured |
| ARC-AGI-2 | Not measured | 6.1% | Only o4 Mini measured |
| SimpleBench | Not measured | 38.7% | Only o4 Mini measured |
| Chess puzzles | Not measured | 22.0% | Only o4 Mini measured |
| Mystery game puzzles | Not measured | 5.0% | Only o4 Mini measured |
| VPCT | Not measured | 57.5% | Only o4 Mini measured |
| LMArena Text: hard prompts | 1438 | 1351 | Gemma 4 26B A4B |
| LMArena Text: expert | 1447 | 1343 | Gemma 4 26B A4B |
| LMArena Text: hard prompts in English | 1448 | 1366 | Gemma 4 26B A4B |
| LMArena Vision: diagrams | 1264 | 1197 | Gemma 4 26B A4B |
| LMArena Vision: homework | 1293 | 1234 | Gemma 4 26B A4B |
| Kagi LLM Benchmark | Not measured | 67.6% | Only o4 Mini measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemma 4 26B A4B | o4 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 83.7% | Only o4 Mini measured |
| MATH 500 (Vals AI) | Not measured | 94.2% | Only o4 Mini measured |
| MGSM (Vals AI) | Not measured | 93.4% | Only o4 Mini measured |
| AA Math Index | Not measured | 90.7 | Only o4 Mini measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 90.7% | Only o4 Mini measured |
| OTIS Mock AIME | 82.2% | 81.7% | Gemma 4 26B A4B |
| FrontierMath, tiers 1 to 3 | Not measured | 36.1% | Only o4 Mini measured |
| FrontierMath, tier 4 | Not measured | 4.9% | Only o4 Mini measured |
| MATH level 5 | Not measured | 97.8% | Only o4 Mini measured |
| LMArena Text: math | 1470 | 1389 | Gemma 4 26B A4B |
| LMArena Text: mathematical work | 1475 | 1379 | Gemma 4 26B A4B |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemma 4 26B A4B | o4 Mini | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 80.6% | Only o4 Mini measured |
| LegalBench (Vals AI) | Not measured | 79.2% | Only o4 Mini measured |
| CorpFin (Vals AI) | Not measured | 59.0% | Only o4 Mini measured |
| TaxEval (Vals AI) | Not measured | 74.8% | Only o4 Mini measured |
| MortgageTax (Vals AI) | Not measured | 64.8% | Only o4 Mini measured |
| MedQA (Vals AI) | Not measured | 96.0% | Only o4 Mini measured |
| MedCode (Vals AI) | Not measured | 33.8% | Only o4 Mini measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 83.2% | Only o4 Mini measured |
| SimpleQA Verified | Not measured | 19.6% | Only o4 Mini measured |
| GeoBench | Not measured | 64.0% | Only o4 Mini measured |
| LMArena Text: science | 1446 | 1354 | Gemma 4 26B A4B |
| LMArena Text: medicine and healthcare | 1428 | 1361 | Gemma 4 26B A4B |
| LMArena Text: legal and government | 1457 | 1350 | Gemma 4 26B A4B |
| LMArena Text: business and finance | 1429 | 1325 | Gemma 4 26B A4B |
| FACTS Benchmark Suite | 42.7% | 28.1% | Gemma 4 26B A4B |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Gemma 4 26B A4B | o4 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 985 | Only o4 Mini measured |
| Design Arena: UI components | Not measured | 983 | Only o4 Mini measured |
| Design Arena: game dev | Not measured | 1003 | Only o4 Mini measured |
| Design Arena: data viz | Not measured | 990 | Only o4 Mini measured |
| Design Arena: 3D | Not measured | 854 | Only o4 Mini measured |
| Design Arena: all code categories | Not measured | 976 | Only o4 Mini measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index232
| Benchmark | Gemma 4 26B A4B | o4 Mini | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 41.1% | Only o4 Mini measured |
| MedScribe (Vals AI) | Not measured | 69.1% | Only o4 Mini measured |
| IFBench | 72.4% | 68.7% | Gemma 4 26B A4B |
| Long context reasoning (AA-LCR) | 65.7% | 61.0% | Gemma 4 26B A4B |
| DTBench | 74.9% | 77.6% | o4 Mini |
| LMCA | 29.7% | 26.5% | Gemma 4 26B A4B |
| Fiction.LiveBench | Not measured | 77.8% | Only o4 Mini measured |
| Creative writing (Lech Mazur) | Not measured | 75.0% | Only o4 Mini measured |
| LMArena Text | 1434 | 1353 | Gemma 4 26B A4B |
| LMArena Text: instruction following | 1420 | 1320 | Gemma 4 26B A4B |
| LMArena Text: creative writing | 1400 | 1294 | Gemma 4 26B A4B |
| LMArena Vision | 1260 | 1194 | Gemma 4 26B A4B |
| LMArena Text: English | 1444 | 1367 | Gemma 4 26B A4B |
| LMArena Text: non-English | 1421 | 1337 | Gemma 4 26B A4B |
| LMArena Text: Chinese | 1495 | 1354 | Gemma 4 26B A4B |
| LMArena Text: German | Not measured | 1336 | Only o4 Mini measured |
| LMArena Text: Japanese | Not measured | 1308 | Only o4 Mini measured |
| LMArena Text: Korean | Not measured | 1312 | Only o4 Mini measured |
| LMArena Text: French | 1460 | 1364 | Gemma 4 26B A4B |
| LMArena Text: Spanish | 1415 | 1346 | Gemma 4 26B A4B |
| LMArena Text: Russian | 1434 | 1334 | Gemma 4 26B A4B |
| LMArena Text: Polish | Not measured | 1358 | Only o4 Mini measured |
| LMArena Text: multi-turn | 1441 | 1350 | Gemma 4 26B A4B |
| LMArena Text: longer queries | 1427 | 1315 | Gemma 4 26B A4B |
| LMArena Text: writing and language | 1405 | 1316 | Gemma 4 26B A4B |
| LMArena Text: entertainment and media | 1403 | 1308 | Gemma 4 26B A4B |
| LMArena Vision: English | 1256 | 1200 | Gemma 4 26B A4B |
| LMArena Vision: Chinese | 1312 | 1218 | Gemma 4 26B A4B |
| LMArena Vision: reading text | 1268 | 1197 | Gemma 4 26B A4B |
| LMArena Vision: humor | 1272 | 1199 | Gemma 4 26B A4B |
| LMArena Vision: captioning | 1297 | 1204 | Gemma 4 26B A4B |
| LMArena Vision: recognizing things | 1191 | 1218 | o4 Mini |
| LMArena Vision: creative writing | 1256 | 1166 | Gemma 4 26B A4B |
| 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 | Gemma 4 26B A4B | o4 Mini | 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 26B A4B costs less
Repository review
50K input + 3K output tokens
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 26B A4B 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 26B A4B | OpenAI o4 Mini |
|---|---|---|
| Maker | OpenAI | |
| Weights | Open weights | No public weights listed |
| Released | April 3, 2026 | April 16, 2025 |
| Context window | 262K | 200K |
| Input $/Mtok | $0.15 | $1.10 |
| Output $/Mtok | $0.60 | $4.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 26B A4B better than o4 Mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 7.3x cheaper ($0.60 vs $4.40 per million) and a larger context window (262K against 200K tokens).
Which is cheaper, Gemma 4 26B A4B or o4 Mini?
Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemma 4 26B A4B or o4 Mini?
Gemma 4 26B A4B, with 262K tokens against 200K.
How many benchmarks is the Gemma 4 26B A4B vs o4 Mini comparison based on?
48 benchmarks have a result for both models as of October 21, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.