Model comparison
Llama 4 Maverick vs o1
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 4 Maverick #201 (Supported); o1 #136 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 4 Maverick and o1 share 13 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Llama 4 Maverick; 3 to o1.
Updated July 24, 2026- Shared results
- 13
- Llama 4 Maverick only
- 5
- o1 only
- 3
- Comparable categories
- 1 / 8
Pick o1 if you want the stronger benchmark profile. Llama 4 Maverick only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
o1 is clearly ahead on the BenchAlign aggregate, 47.14 to 22.7. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1's sharpest advantage is in mathematics, where it averages 9.3 against 0.7. The single biggest benchmark swing on the page is FrontierMath v2 (Tiers 1-3), 0.690% to 9.310%.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Maverick. That is roughly Infinityx on output cost alone. o1 is the reasoning model in the pair, while Llama 4 Maverick is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Llama 4 Maverick gives you the larger context window at 1M, compared with 200K for o1.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Llama 4 Maverick | Δ | o1 |
|---|---|---|---|
| Math | Llama 4 Maverick0.7 | Margin→ 8.6 | o19.3 |
| Knowledge | Llama 4 MaverickNot measured | MarginNo overlap | o175.7 |
| Inst. Following | Llama 4 MaverickNot measured | MarginNo overlap | o192.2 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 0.690%B 9.310%Winner: o1Δ 8.6FrontierMath v2 (Tiers 1-3): Llama 4 Maverick scored 0.690%; o1 scored 9.310%. o1 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 4 Maverick | o1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 4 Maverick$0 input / $0 output | o1$15 input / $60 output | Llama 4 Maverick has the lower combined listed price. |
| Generation speedtokens per second | Llama 4 Maverick121 tok/s | o198 tok/s | Llama 4 Maverick has the higher measured throughput. |
| First-answer latencyseconds to first token | Llama 4 Maverick0.95 s | o132.29 s | Llama 4 Maverick reaches the first token sooner. |
| Context windowmaximum listed tokens | Llama 4 Maverick1M | o1200K | Llama 4 Maverick lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Llama 4 Maverick | o1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 14.3% | 23.4% | o1 leads |
| AA-GPQA DiamondSource | 67.1% | 74.7% | o1 leads |
| AA-HLESource | 4.8% | 7.7% | o1 leads |
| AA-Omniscience IndexSource | -41.8% | -10.5% | o1 leads |
| AA-Omniscience AccuracySource | 24.3% | 34.7% | o1 leads |
| AA-Omniscience Hallucination RateSource | 87.3% | 69.3% | o1 leads |
| MMLUSource | — | 91.8% | Not comparable |
| GPQASource | — | 75.7% | Not comparable |
Matho1 wins1 benchmarks
| Benchmark | Llama 4 Maverick | o1 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 0.690% | 9.310% | o1 leads |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Llama 4 Maverick or o1?
o1 is ahead on BenchLM's BenchAlign leaderboard, 47.14 to 22.7. The biggest single separator in this matchup is FrontierMath v2 (Tiers 1-3), where the scores are 0.690% and 9.310%.
Which is better for math, Llama 4 Maverick or o1?
o1 has the edge for math in this comparison, averaging 9.3 versus 0.7. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.