Pairwise benchmark snapshot · Aug 16, 2026

Llama 4 Maverick vs OpenAI: o1 benchmark

Name: Llama 4 Maverick vs OpenAI: o1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Llama 4 Maverick (Meta) and OpenAI: o1 (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, OpenAI: o1 is ahead by 44 points (1,512 vs 1,468; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Llama 4 Maverick resolves 57.1% versus 48.9% (seed-bootstrap (Aug 1, 2026)). Llama 4 Maverick streams faster (130 tok/s) while Llama 4 Maverick is the cheaper output token ($0.8/1M). Llama 4 Maverick has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 4 Maverick (6)vsOpenAI: o1 (4)

Llama 4 Maverick: 6W (60%)Overall: Llama 4 MaverickOpenAI: o1: 4W (40%)

← Llama 4 MaverickOpenAI: o1 →

OpenAI: o1 (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,468vs1,512

Coding Elo

1,452vs1,485

SWE-bench

57.1%vs48.9%

LiveBench

62.8%vs65.4%

GPQA Diamond

74.6%vs78%

Llama 4 Maverick: 1WOpenAI: o1: 4W

Llama 4 Maverick (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

130 tok/svs45 tok/s

Time to first token

170 msvs420 ms

Llama 4 Maverick: 2WOpenAI: o1: 0W

Llama 4 Maverick (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.8/1Mvs$60/1M

Input price

$0.2/1Mvs$15/1M

Context window

1Mvs200k

Llama 4 Maverick: 3WOpenAI: o1: 0W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageLlama 4 Maverick 4/6

Preference Elo

OpenAI: o1

44 pts advantage

Throughput Speed

Llama 4 Maverick

85 tok/s faster

Price Efficiency

Llama 4 Maverick

$59.20/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,468

EloHigh is better

1,512+3%

Code Elo

High is better

1,452

Code EloHigh is better

1,485+2%

LiveBench

High is better

62.8%

LiveBenchHigh is better

65.4%+4%

SWE-bench

High is better

+17%57.1%

SWE-benchHigh is better

48.9%

GPQA

High is better

74.6%

GPQAHigh is better

78%+5%

TTFT

Low is better

+147%170 ms

TTFTLow is better

420 ms

Speed

High is better

+189%130 tok/s

SpeedHigh is better

45 tok/s

In $

Low is better

+7400%$0.2/1M

In $Low is better

$15/1M

Out $

Low is better

+7400%$0.8/1M

Out $Low is better

$60/1M

Context

High is better

+424%1M

ContextHigh is better

200k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 99% with Llama 4 Maverick

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Llama 4 Maverick$19.00 / mo

In: $7.00Out: $12.00

OpenAI: o1$1,425.00 / mo

In: $525.00Out: $900.00

Estimated Cost Delta

Llama 4 Maverick is estimated to save $1,406.00/month ($16,872/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Llama 4 Maverick:Pick Llama 4 Maverick when repo-level coding accuracy is the constraint.
2
Llama 4 Maverick:Pick Llama 4 Maverick when time-to-first-token matters more than peak Elo.
3
Llama 4 Maverick:Pick Llama 4 Maverick for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsLlama 4 Maverick

Higher SWE-bench (57.1%).

High-volume chatLlama 4 Maverick

Lower output list price ($0.8/1M).

Voice / low-latency UILlama 4 Maverick

Lower TTFT (170 ms).

Long-document RAGLlama 4 Maverick

Larger window (1M).

Screenshots / visionOpenAI: o1

Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Llama 4 Maverick	Higher SWE-bench (57.1%).
High-volume chat	Llama 4 Maverick	Lower output list price ($0.8/1M).
Voice / low-latency UI	Llama 4 Maverick	Lower TTFT (170 ms).
Long-document RAG	Llama 4 Maverick	Larger window (1M).
Screenshots / vision	OpenAI: o1	Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Related Editorial Dispatches & Benchmark Notes

View all news

compareApr 9, 2026

Llama vs Claude: open-weight Meta versus the Anthropic crown

Hub remaps to top Meta vs top Anthropic Elo. Usually Maverick vs Opus 5.

launchApr 8, 2026

Llama 4 Maverick: Meta’s natively multimodal open-weight flagship

Apr 2026. The Llama vs Claude hub uses the top Meta Elo row — usually Maverick.

launchDec 6, 2024

Llama 3.3 70B stays as the previous Meta 70B workhorse

Dec 2024 instruct 70B. Still a self-host baseline. Llama 4 is the 2026 buy.

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LIVE

Llama 4 Maverick

Elo 1,468

LiveBench62.8%

SWE-bench57.1%

Speed130 tok/s

Output cost$0.8/1M

OpenAI

OpenAI: o1

Elo 1,512

LiveBench65.4%

SWE-bench48.9%

Speed45 tok/s

Output cost$60/1M

Frequently Asked Questions

Which is better overall, Llama 4 Maverick or OpenAI: o1?: OpenAI: o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Llama 4 Maverick or OpenAI: o1?: Llama 4 Maverick leads SWE-bench at 57.1% vs 48.9%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Llama 4 Maverick output tokens are $0.8/1M versus $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Llama 4 Maverick or OpenAI: o1?: Llama 4 Maverick has the lower time-to-first-token (170 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Llama 4 Maverick accepts 1M tokens versus 200k.
Can I self-host either model?: Llama 4 Maverick is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Llama 4 Maverick and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Llama 4 Maverick matchups →|All OpenAI: o1 matchups →

Llama 4 Maverick vs Llama 3.3 70B (previous llama)Llama 4 Maverick vs Llama 4 Scout (next llama)OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5.6 Terra vs OpenAI: o1 GPT-5 vs OpenAI: o1

Llama 4 Maverick vs OpenAI: o1 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Llama 4 Maverick (6)vsOpenAI: o1 (4)

Llama 4 Maverick: 6W (60%)Overall: Llama 4 MaverickOpenAI: o1: 4W (40%)

← Llama 4 MaverickOpenAI: o1 →

OpenAI: o1 (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,468vs1,512

Coding Elo

1,452vs1,485

SWE-bench

57.1%vs48.9%

LiveBench

62.8%vs65.4%

GPQA Diamond

74.6%vs78%

Llama 4 Maverick: 1WOpenAI: o1: 4W

Llama 4 Maverick (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

130 tok/svs45 tok/s

Time to first token

170 msvs420 ms

Llama 4 Maverick: 2WOpenAI: o1: 0W

Llama 4 Maverick (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.8/1Mvs$60/1M

Input price

$0.2/1Mvs$15/1M

Context window

1Mvs200k

Llama 4 Maverick: 3WOpenAI: o1: 0W

Recommended Workload Routing

Repo / coding agentsLlama 4 Maverick

Higher SWE-bench (57.1%).

High-volume chatLlama 4 Maverick

Lower output list price ($0.8/1M).

Voice / low-latency UILlama 4 Maverick

Lower TTFT (170 ms).

Long-document RAGLlama 4 Maverick

Larger window (1M).

Screenshots / visionOpenAI: o1

Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Llama 4 Maverick	Higher SWE-bench (57.1%).
High-volume chat	Llama 4 Maverick	Lower output list price ($0.8/1M).
Voice / low-latency UI	Llama 4 Maverick	Lower TTFT (170 ms).
Long-document RAG	Llama 4 Maverick	Larger window (1M).
Screenshots / vision	OpenAI: o1	Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Frequently Asked Questions

Which is better overall, Llama 4 Maverick or OpenAI: o1?

OpenAI: o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Llama 4 Maverick or OpenAI: o1?

Llama 4 Maverick leads SWE-bench at 57.1% vs 48.9%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Llama 4 Maverick output tokens are $0.8/1M versus $60/1M. Input prices and retry rates still move the real bill.

Which is faster, Llama 4 Maverick or OpenAI: o1?

Llama 4 Maverick has the lower time-to-first-token (170 ms vs 420 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Llama 4 Maverick accepts 1M tokens versus 200k.

Can I self-host either model?

Llama 4 Maverick is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Llama 4 Maverick and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

OpenAI: o1

Llama 4 Maverick

Llama 4 Maverick

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Llama vs Claude: open-weight Meta versus the Anthropic crown

Llama 4 Maverick: Meta’s natively multimodal open-weight flagship

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

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CompareLLM Matrix

Llama 4 Maverick

OpenAI: o1

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

OpenAI: o1

Llama 4 Maverick

Llama 4 Maverick

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Llama vs Claude: open-weight Meta versus the Anthropic crown

Llama 4 Maverick: Meta’s natively multimodal open-weight flagship

Llama 3.3 70B stays as the previous Meta 70B workhorse

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Llama 4 Maverick

OpenAI: o1

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons