Llama 3 Baseten Base on SWE-bench Verified: score, rank and what it means
Llama 3 Baseten Base scores 62.9 on SWE-bench Verified, placing it #254 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.
Score distribution
The chart shows the top 10 models on SWE-bench Verified, with Llama 3 Baseten Base highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Baseten Base sits at #254 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 18.8 points. The median model in this index scores 61.0, which puts Llama 3 Baseten Base above the midpoint.
Baseten models average 53.3 on this benchmark. Llama 3 Baseten Base is 9.6 points above that provider line, so it is a stronger result than the average Baseten model.
Among open-weight models, the average is 55.5. Llama 3 Baseten Base is 7.4 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 62.9 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 $3.16 per million input tokens, Llama 3 Baseten Base 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 Novita Instruct | Novita AI | 32768 | $3.94 | 75.6 |
| GPT-5.1 Nano | OpenAI | 32768 | $9.56 | 74.1 |
| Llama 3 Anyscale | Anyscale | 65536 | $3.94 | 74.7 |
| Sonar Max | Perplexity | 32768 | $11.60 | 77.8 |
| Llama 3 Baseten Base | Baseten | 16384 | $3.16 | 72.4 |
| Llama 3 Baseten Chat | Baseten | 200000 | $3.55 | 73.2 |
| Codestral Chat | Mistral AI | 32768 | $3.89 | 75.8 |
Other benchmarks for Llama 3 Baseten Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 73.5 | 363 | 40th | |
| GPQA Diamond | 67.7 | 317 | 47th | |
| HumanEval | 75.8 | 331 | 45th | |
| MATH-500 | 75.9 | 301 | 50th | |
| AIME 2025 | 69.1 | 278 | 54th | |
| LiveCodeBench | 67.1 | 245 | 59th | |
| IFEval | 79.2 | 350 | 42th | |
| TruthfulQA | 74.7 | 338 | 44th | |
| HellaSwag | 82.7 | 329 | 45th | |
| MMMU | 67.8 | 346 | 42th | |
| Arena Elo | 1366.8 | 327 | 46th |
FAQ
What score does Llama 3 Baseten Base get on SWE-bench Verified?
Llama 3 Baseten Base scores 62.9 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.
How does Llama 3 Baseten Base rank on SWE-bench Verified?
It ranks #254 of 600 models, in the 58th percentile. The leader is GPT-5.2 Pro at 81.7.
Is Llama 3 Baseten Base 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 Baseten Base cost?
Llama 3 Baseten Base costs $3.16 per million input tokens and $13.67 per million output tokens.