Llama 3 Anyscale 7B on MATH-500: score, rank and what it means
Llama 3 Anyscale 7B scores 58.4 on MATH-500, placing it #486 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.
Score distribution
The chart shows the top 10 models on MATH-500, with Llama 3 Anyscale 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 5 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 6 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 7 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 10 | Claude Opus 4.5 Turbo | Anthropic | 2000000 | $19.57 | 85.7 |
What this score means
On MATH-500, Llama 3 Anyscale 7B sits at #486 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 38.3 points. The median model in this index scores 76.0, which puts Llama 3 Anyscale 7B below the midpoint.
Anyscale models average 68.2 on this benchmark. Llama 3 Anyscale 7B is 9.8 points below that provider line, so it is a weaker result than the average Anyscale model.
Among small open-weight models, the average is 53.7. Llama 3 Anyscale 7B is 4.7 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 58.4 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 $0.98 per million input tokens, Llama 3 Anyscale 7B is below the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3.1 Turbo 8B | Together AI | 32768 | $1.16 | 58.8 |
| Seed-OSS 8B | ByteDance | 8192 | $1.05 | 57.1 |
| DeepSeek-R1 1.5B | DeepSeek | 16384 | $1.04 | 56.6 |
| Llama 3 Replicate 8B | Replicate | 32768 | $1.00 | 57.0 |
| Llama 3 Anyscale 7B | Anyscale | 4096 | $0.98 | 56.2 |
| Llama 3 Baseten 8B | Baseten | 4096 | $1.02 | 57.0 |
| Hunyuan-Large 8B | Tencent | 4096 | $1.29 | 58.7 |
Other benchmarks for Llama 3 Anyscale 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 62.1 | 500 | 17th | |
| GPQA Diamond | 49.8 | 526 | 12th | |
| SWE-bench Verified | 44.3 | 473 | 21th | |
| HumanEval | 58.2 | 521 | 13th | |
| AIME 2025 | 46.1 | 488 | 19th | |
| LiveCodeBench | 41.1 | 532 | 11th | |
| IFEval | 67.3 | 499 | 17th | |
| TruthfulQA | 61.6 | 511 | 15th | |
| HellaSwag | 73.7 | 460 | 23th | |
| MMMU | 56.1 | 487 | 19th | |
| Arena Elo | 1234.9 | 521 | 13th |
FAQ
What score does Llama 3 Anyscale 7B get on MATH-500?
Llama 3 Anyscale 7B scores 58.4 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.
How does Llama 3 Anyscale 7B rank on MATH-500?
It ranks #486 of 600 models, in the 19th percentile. The leader is GPT-5.2 Max at 96.7.
Is Llama 3 Anyscale 7B good at MATH-500?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the MATH-500 score calculated?
MATH-500 is a mathematics 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 7B cost?
Llama 3 Anyscale 7B costs $0.98 per million input tokens and $3.49 per million output tokens.