Coding · Meta AI

Llama 4 Maverick Instruct on SWE-bench Verified: score, rank and what it means

Llama 4 Maverick Instruct scores 69.1 on SWE-bench Verified, placing it #130 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
69.1
0–100 scale
Rank
#130
of 600
Percentile
78th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
12.6
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Llama 4 Maverick Instruct highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Llama 4 Maverick Instruct sits at #130 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 12.6 points. The median model in this index scores 61.0, which puts Llama 4 Maverick Instruct above the midpoint.

Meta AI models average 56.9 on this benchmark. Llama 4 Maverick Instruct is 12.2 points above that provider line, so it is a stronger result than the average Meta AI model.

Among multimodal models, the average is 66.4. Llama 4 Maverick Instruct is 2.7 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 69.1 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $5.33 per million input tokens, Llama 4 Maverick Instruct is above the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1
Claude Haiku 4.5 Anthropic 1000000 $13.86 79.4
GPT-5.2 Mini OpenAI 200000 $13.34 80.4
DeepSeek-V3.2 Base DeepSeek 128000 $5.05 80.2
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7
ERNIE 4.5 Max Baidu 128000 $14.41 80.6
Sonar Pro Perplexity 128000 $13.01 79.1

Other benchmarks for Llama 4 Maverick Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.6 70 88th
GPQA Diamond 79.5 67 89th
HumanEval 85.0 117 81th
MATH-500 83.4 139 77th
AIME 2025 79.9 91 85th
LiveCodeBench 75.8 84 86th
IFEval 88.9 86 86th
TruthfulQA 84.0 84 86th
HellaSwag 89.6 98 84th
MMMU 79.0 73 88th
Arena Elo 1438.5 100 83th

FAQ

What score does Llama 4 Maverick Instruct get on SWE-bench Verified?

Llama 4 Maverick Instruct scores 69.1 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Llama 4 Maverick Instruct rank on SWE-bench Verified?

It ranks #130 of 600 models, in the 78th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Llama 4 Maverick Instruct good at SWE-bench Verified?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the SWE-bench Verified score calculated?

SWE-bench Verified is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Llama 4 Maverick Instruct cost?

Llama 4 Maverick Instruct costs $5.33 per million input tokens and $23.04 per million output tokens.

Related