Coding · Anyscale

Llama 3 Anyscale Chat on SWE-bench Verified: score, rank and what it means

Llama 3 Anyscale Chat scores 61.8 on SWE-bench Verified, placing it #283 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
61.8
0–100 scale
Rank
#283
of 600
Percentile
53th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
19.9
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Llama 3 Anyscale Chat 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 3 Anyscale Chat sits at #283 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 19.9 points. The median model in this index scores 61.0, which puts Llama 3 Anyscale Chat above the midpoint.

Anyscale models average 52.4 on this benchmark. Llama 3 Anyscale Chat is 9.4 points above that provider line, so it is a stronger result than the average Anyscale model.

Among multimodal models, the average is 66.4. Llama 3 Anyscale Chat is 4.6 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 61.8 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 $3.67 per million input tokens, Llama 3 Anyscale Chat is below 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
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Llama 3.1 Chat Meta AI 32768 $3.82 75.3
Mixtral Groq Groq 16384 $3.37 73.1
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Llama 3 Novita Novita AI 128000 $3.70 74.4

Other benchmarks for Llama 3 Anyscale Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 258 57th
GPQA Diamond 68.8 302 50th
HumanEval 79.5 247 59th
MATH-500 76.0 299 50th
AIME 2025 72.9 205 66th
LiveCodeBench 66.3 268 55th
IFEval 84.2 210 65th
TruthfulQA 75.9 308 49th
HellaSwag 85.1 238 60th
MMMU 72.6 230 62th
Arena Elo 1373.6 302 50th

FAQ

What score does Llama 3 Anyscale Chat get on SWE-bench Verified?

Llama 3 Anyscale Chat scores 61.8 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Llama 3 Anyscale Chat rank on SWE-bench Verified?

It ranks #283 of 600 models, in the 53rd percentile. The leader is GPT-5.2 Pro at 81.7.

Is Llama 3 Anyscale Chat 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 3 Anyscale Chat cost?

Llama 3 Anyscale Chat costs $3.67 per million input tokens and $14.56 per million output tokens.

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