Llama 3 Modal 1.5B: pricing, context window and benchmarks
Llama 3 Modal 1.5B is a small open-weight model from Modal. It offers a 4,096-token context window, costs $0.42 per million input tokens and $1.80 per million output tokens, and averages 49.7 across the index's benchmark suite.
Pricing
Llama 3 Modal 1.5B costs $0.42 per million input tokens and $1.80 per million output tokens. A blended 3:1 input-to-output mix works out to about $0.77 per million tokens. Cached input is listed at $0.05 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.42 | per 1M tokens |
| Output | $1.80 | per 1M tokens |
| Cached input | $0.05 | per 1M tokens |
| Blended 3:1 | $0.77 | estimate per 1M tokens |
| 1M in + 1M out | $2.22 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 58.7 | 541 | 10th | |
| GPQA Diamond | 47.1 | 548 | 9th | |
| SWE-bench Verified | 34.0 | 566 | 6th | |
| HumanEval | 51.4 | 562 | 6th | |
| MATH-500 | 48.8 | 566 | 6th | |
| AIME 2025 | 35.4 | 565 | 6th | |
| LiveCodeBench | 38.3 | 547 | 9th | |
| IFEval | 60.3 | 570 | 5th | |
| TruthfulQA | 56.3 | 562 | 6th | |
| HellaSwag | 65.8 | 578 | 4th | |
| MMMU | 50.6 | 547 | 9th | |
| Arena Elo | 1185.3 | 569 | 5th |
What Llama 3 Modal 1.5B is good for
Llama 3 Modal 1.5B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.42 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.42 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Context window of 4,096 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Codestral 1.5B | Mistral AI | 8192 | $0.52 | 49.9 |
| Molmo 8B | Allen Institute for AI | 32768 | $0.44 | 49.9 |
| Llama 3.1 Turbo 1.5B | Together AI | 16384 | $0.46 | 49.8 |
| Seed-OSS 1.5B | ByteDance | 4096 | $0.45 | 49.8 |
| Embed 4 Nano | Cohere | 8192 | $1.48 | 49.7 |
| Llama 3 Modal 1.5B | Modal | 4096 | $0.42 | 49.7 |
FAQ
How much does Llama 3 Modal 1.5B cost?
Llama 3 Modal 1.5B is listed at $0.42 per million input tokens and $1.80 per million output tokens. Cached input is $0.051 per million tokens. A blended 3:1 input-to-output mix is about $0.77 per million tokens.
What is the context window of Llama 3 Modal 1.5B?
Llama 3 Modal 1.5B has a context window of 4,096 tokens and can emit up to 4,096 output tokens per request in this index.
Is Llama 3 Modal 1.5B open weights?
Yes. Llama 3 Modal 1.5B is listed as an open-weight model under a open weights licence.
How does Llama 3 Modal 1.5B score on benchmarks?
Llama 3 Modal 1.5B averages 49.7 across the scored benchmarks in this index, ranking #562 of 600 models. Its strongest relative result is Arena Elo at 1185.3.
What is Llama 3 Modal 1.5B best for?
Llama 3 Modal 1.5B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.42 per million input tokens it can handle a large share of production traffic.