Llama 3 DeepInfra 8B: pricing, context window and benchmarks
Llama 3 DeepInfra 8B is a small open-weight model from DeepInfra. It offers a 8,192-token context window, costs $1.05 per million input tokens and $3.99 per million output tokens, and averages 57.4 across the index's benchmark suite.
Pricing
Llama 3 DeepInfra 8B costs $1.05 per million input tokens and $3.99 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.79 per million tokens. Cached input is listed at $0.14 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.05 | per 1M tokens |
| Output | $3.99 | per 1M tokens |
| Cached input | $0.14 | per 1M tokens |
| Blended 3:1 | $1.79 | estimate per 1M tokens |
| 1M in + 1M out | $5.04 | 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 | 65.0 | 454 | 24th | |
| GPQA Diamond | 52.7 | 491 | 18th | |
| SWE-bench Verified | 42.9 | 491 | 18th | |
| HumanEval | 60.2 | 501 | 17th | |
| MATH-500 | 57.4 | 495 | 18th | |
| AIME 2025 | 46.5 | 482 | 20th | |
| LiveCodeBench | 47.4 | 471 | 22th | |
| IFEval | 69.7 | 466 | 22th | |
| TruthfulQA | 63.5 | 482 | 20th | |
| HellaSwag | 72.0 | 497 | 17th | |
| MMMU | 54.4 | 504 | 16th | |
| Arena Elo | 1242.0 | 506 | 16th |
What Llama 3 DeepInfra 8B is good for
Llama 3 DeepInfra 8B 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 $1.05 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $1.05 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 8,192 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 |
|---|---|---|---|---|
| Llama 3 DeepInfra 8B | DeepInfra | 8192 | $1.05 | 57.4 |
| Llama 3.1 7B | Meta AI | 8192 | $1.01 | 57.4 |
| DeepSeek-Coder 7B | DeepSeek | 32768 | $1.14 | 57.3 |
| Llama 3 Anyscale 8B | Anyscale | 32768 | $0.97 | 57.3 |
| Llama 3 Lambda 8B | Lambda | 4096 | $1.03 | 57.2 |
| Mistral Small 3 8B | Mistral AI | 8192 | $0.99 | 57.2 |
FAQ
How much does Llama 3 DeepInfra 8B cost?
Llama 3 DeepInfra 8B is listed at $1.05 per million input tokens and $3.99 per million output tokens. Cached input is $0.14 per million tokens. A blended 3:1 input-to-output mix is about $1.79 per million tokens.
What is the context window of Llama 3 DeepInfra 8B?
Llama 3 DeepInfra 8B has a context window of 8,192 tokens and can emit up to 8,192 output tokens per request in this index.
Is Llama 3 DeepInfra 8B open weights?
Yes. Llama 3 DeepInfra 8B is listed as an open-weight model under a open weights licence.
How does Llama 3 DeepInfra 8B score on benchmarks?
Llama 3 DeepInfra 8B averages 57.4 across the scored benchmarks in this index, ranking #479 of 600 models. Its strongest relative result is Arena Elo at 1242.0.
What is Llama 3 DeepInfra 8B best for?
Llama 3 DeepInfra 8B 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 $1.05 per million input tokens it can handle a large share of production traffic.