Llama 4 Maverick vs o1
Updated October 21, 2026. 60 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 18.1 for Llama 4 Maverick, though on 1 benchmark against 2.
Pick Llama 4 Maverick when output tokens cost 92.0x less, or when the context window is larger, 524K against 200K tokens.
- Shared results
- 60
- Llama 4 Maverick only
- 24
- o1 only
- 8
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
o1
o1 scores 61.7 against 18.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
o1
o1 leads, 15.2 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Llama 4 Maverick has a AA Agentic Index result, 0.6.
Directional only
Reasoning
GPQA Diamond
o1
o1 leads, 73.2% against 69.4%.
Same board, both measured
Math
AIME
o1
o1 leads, 71.5% against 25.2%.
Same board, both measured
Knowledge
MMLU Pro
o1
o1 leads, 83.5% against 79.4%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Llama 4 Maverick has a Design Arena: websites result, 871.
Directional only
Long documents
Listed context window
Llama 4 Maverick
Llama 4 Maverick takes 524K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Maverick
Llama 4 Maverick $0.0005, o1 $0.045 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Llama 4 Maverick has the number, $1.491.
Directional only
At a glance
- Coding index
- Llama 4 Maverick 18.1 from 2 benchmarks, o1 61.7 from 1 benchmark.
- Widest category
- Agentic work, 44.7 points apart on average over 1 shared benchmark.
- Widest single gap
- MedQA (Vals AI): Llama 4 Maverick 43.3% against o1 96.5%, 53.2 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Maverick $0.6525 against o1 $60.00 per million output tokens, 92.0x apart.
- Context window
- Llama 4 Maverick takes 524K tokens, o1 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 | Llama 4 Maverick | Bars | o1 | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 9 | ||
| Math | 1 | 4 | ||
| Knowledge | 0 | 10 | ||
| General | 0 | 25 | ||
| All shared boards | 1 | 59 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index08
| Benchmark | Llama 4 Maverick | o1 | Leader |
|---|---|---|---|
| Aider polyglot | 15.6% | 61.7% | o1 |
| SWE-bench Verified | 21.0% | Not measured | Only Llama 4 Maverick measured |
| AA Coding Index | 16.3 | 39.7 | o1 |
| LiveCodeBench (Vals AI) | 47.3% | 50.3% | o1 |
| LiveCodeBench (Artificial Analysis run) | 39.7% | 67.9% | o1 |
| SciCode | 31.7% | Not measured | Only Llama 4 Maverick measured |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 12.9% | o1 |
| WeirdML | 24.5% | 46.1% | o1 |
| ALE-Bench | 173.0 | Not measured | Only Llama 4 Maverick measured |
| LMArena Text: coding | 1301 | 1367 | o1 |
| LMArena Text: software and IT | 1299 | 1366 | o1 |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Maverick | o1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.3 | 15.2 | o1 |
| Epoch Capabilities Index | 132.2 | 141.7 | o1 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 4 Maverick | o1 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.6 | Not measured | Only Llama 4 Maverick measured |
| τ²-Bench Telecom | 17.8% | 62.6% | o1 |
| METR time horizons | Not measured | 51.1% | Only o1 measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Llama 4 Maverick | o1 | Leader |
|---|---|---|---|
| GPQA Diamond | 69.4% | 73.2% | o1 |
| MMMU Pro (Vals AI) | 71.7% | 77.4% | o1 |
| GPQA Diamond (Artificial Analysis run) | 67.1% | 74.7% | o1 |
| Humanity's Last Exam (Artificial Analysis run) | 4.9% | 7.0% | o1 |
| GPQA Diamond (Epoch AI run) | Not measured | 76.8% | Only o1 measured |
| ARC-AGI | 4.4% | 30.7% | o1 |
| ARC-AGI-2 | 0.0% | Not measured | Only Llama 4 Maverick measured |
| SimpleBench | 27.7% | 40.1% | o1 |
| Chess puzzles | Not measured | 10.0% | Only o1 measured |
| VPCT | Not measured | 37.0% | Only o1 measured |
| LMArena Text: hard prompts | 1281 | 1371 | o1 |
| LMArena Text: expert | 1259 | 1361 | o1 |
| LMArena Text: hard prompts in English | 1295 | 1372 | o1 |
| LMArena Vision: diagrams | 1134 | Not measured | Only Llama 4 Maverick measured |
| LMArena Vision: homework | 1164 | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Llama 4 Maverick | o1 | Leader |
|---|---|---|---|
| AIME | 25.2% | 71.5% | o1 |
| MATH 500 (Vals AI) | 85.2% | 90.4% | o1 |
| MGSM (Vals AI) | 92.4% | 89.3% | Llama 4 Maverick |
| AA Math Index | 19.3 | Not measured | Only Llama 4 Maverick measured |
| AIME 2025 (Artificial Analysis run) | 19.3% | Not measured | Only Llama 4 Maverick measured |
| OTIS Mock AIME | Not measured | 73.3% | Only o1 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 14.7% | Only o1 measured |
| MATH level 5 | Not measured | 94.7% | Only o1 measured |
| LMArena Text: math | 1299 | 1388 | o1 |
| LMArena Text: mathematical work | 1295 | 1390 | o1 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
| Benchmark | Llama 4 Maverick | o1 | Leader |
|---|---|---|---|
| MMLU Pro | 79.4% | 83.5% | o1 |
| LegalBench (Vals AI) | 77.8% | 80.4% | o1 |
| CorpFin (Vals AI) | 49.7% | Not measured | Only Llama 4 Maverick measured |
| TaxEval (Vals AI) | 66.6% | 74.3% | o1 |
| MortgageTax (Vals AI) | 58.5% | Not measured | Only Llama 4 Maverick measured |
| MedQA (Vals AI) | 43.3% | 96.5% | o1 |
| MedCode (Vals AI) | 36.5% | Not measured | Only Llama 4 Maverick measured |
| MMLU Pro (Artificial Analysis run) | 80.9% | 84.1% | o1 |
| SimpleQA Verified | Not measured | 41.1% | Only o1 measured |
| GeoBench | 52.0% | 80.0% | o1 |
| LMArena Text: science | 1288 | 1369 | o1 |
| LMArena Text: medicine and healthcare | 1275 | 1355 | o1 |
| LMArena Text: legal and government | 1286 | 1368 | o1 |
| LMArena Text: business and finance | 1260 | 1328 | o1 |
| 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 | Llama 4 Maverick | o1 | Leader |
|---|---|---|---|
| Design Arena: websites | 871 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: UI components | 899 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: game dev | 838 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: data viz | 882 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: 3D | 901 | Not measured | Only Llama 4 Maverick measured |
| Design Arena: all code categories | 880 | Not measured | Only Llama 4 Maverick measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index025
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Maverick | o1 | 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
Llama 4 Maverick costs less
Repository review
50K input + 3K output tokens
Llama 4 Maverick costs less
Agent loop
200K input + 10K output tokens
Llama 4 Maverick 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 | Meta Llama 4 Maverick | OpenAI o1 |
|---|---|---|
| Maker | Meta Llama | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | April 5, 2025 | December 17, 2024 |
| Context window | 524K | 200K |
| Input $/Mtok | $0.1875 | $15.00 |
| Output $/Mtok | $0.6525 | $60.00 |
| Coding index | 18.1 | 61.7 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $1.491 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Maverick better than o1 for coding?
Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 18.1 for Llama 4 Maverick, though on 1 benchmark against 2. Pick Llama 4 Maverick when output tokens cost 92.0x less, or when the context window is larger, 524K against 200K tokens.
Which is cheaper, Llama 4 Maverick or o1?
Llama 4 Maverick costs $0.1875 per million input tokens and $0.6525 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for Llama 4 Maverick only.
Which has the bigger context window, Llama 4 Maverick or o1?
Llama 4 Maverick, with 524K tokens against 200K.
How many benchmarks is the Llama 4 Maverick vs o1 comparison based on?
60 benchmarks have a result for both models as of October 21, 2026. Llama 4 Maverick's coding index rests on 2 independent benchmarks and o1's on 1. Where only one model has a result, the page says so instead of naming a winner.