Llama 3 Lambda Chat: pricing, context window and benchmarks
Llama 3 Lambda Chat is a multimodal model from Lambda. It offers a 32,768-token context window, costs $3.73 per million input tokens and $17.52 per million output tokens, and averages 74.7 across the index's benchmark suite.
Pricing
Llama 3 Lambda Chat costs $3.73 per million input tokens and $17.52 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.18 per million tokens. Cached input is listed at $0.43 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.73 | per 1M tokens |
| Output | $17.52 | per 1M tokens |
| Cached input | $0.43 | per 1M tokens |
| Blended 3:1 | $7.18 | estimate per 1M tokens |
| 1M in + 1M out | $21.25 | 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 | 76.8 | 282 | 53th | |
| GPQA Diamond | 71.4 | 232 | 61th | |
| SWE-bench Verified | 64.2 | 228 | 62th | |
| HumanEval | 79.9 | 235 | 61th | |
| MATH-500 | 75.6 | 311 | 48th | |
| AIME 2025 | 73.3 | 200 | 67th | |
| LiveCodeBench | 64.5 | 306 | 49th | |
| IFEval | 80.8 | 316 | 47th | |
| TruthfulQA | 77.0 | 283 | 53th | |
| HellaSwag | 86.2 | 208 | 65th | |
| MMMU | 72.3 | 234 | 61th | |
| Arena Elo | 1378.6 | 278 | 54th |
What Llama 3 Lambda Chat is good for
Llama 3 Lambda Chat is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.73 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $3.73 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- No standout weakness in the indexed specifications, but real-world behaviour still needs testing.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3 Modal | Modal | 32768 | $3.82 | 74.9 |
| Llama 3 Anyscale | Anyscale | 65536 | $3.94 | 74.7 |
| Llama 3 Lambda Chat | Lambda | 32768 | $3.73 | 74.7 |
| Llama 3 Replicate Chat | Replicate | 200000 | $3.74 | 74.7 |
| Phi-4 Chat | Microsoft | 65536 | $3.66 | 74.7 |
| Llama 3 Anyscale Chat | Anyscale | 65536 | $3.67 | 74.6 |
FAQ
How much does Llama 3 Lambda Chat cost?
Llama 3 Lambda Chat is listed at $3.73 per million input tokens and $17.52 per million output tokens. Cached input is $0.43 per million tokens. A blended 3:1 input-to-output mix is about $7.18 per million tokens.
What is the context window of Llama 3 Lambda Chat?
Llama 3 Lambda Chat has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Llama 3 Lambda Chat open weights?
Yes. Llama 3 Lambda Chat is listed as an open-weight model under a open weights licence.
How does Llama 3 Lambda Chat score on benchmarks?
Llama 3 Lambda Chat averages 74.7 across the scored benchmarks in this index, ranking #260 of 600 models. Its strongest relative result is Arena Elo at 1378.6.
What is Llama 3 Lambda Chat best for?
Llama 3 Lambda Chat is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.73 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.