Llama 3 Lambda Instruct: pricing, context window and benchmarks
Llama 3 Lambda Instruct is a multimodal model from Lambda. It offers a 32,768-token context window, costs $3.92 per million input tokens and $19.48 per million output tokens, and averages 75.8 across the index's benchmark suite.
Pricing
Llama 3 Lambda Instruct costs $3.92 per million input tokens and $19.48 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.81 per million tokens. Cached input is listed at $0.56 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.92 | per 1M tokens |
| Output | $19.48 | per 1M tokens |
| Cached input | $0.56 | per 1M tokens |
| Blended 3:1 | $7.81 | estimate per 1M tokens |
| 1M in + 1M out | $23.40 | 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 | 80.8 | 154 | 74th | |
| GPQA Diamond | 69.1 | 293 | 51th | |
| SWE-bench Verified | 64.3 | 226 | 62th | |
| HumanEval | 78.6 | 274 | 54th | |
| MATH-500 | 78.6 | 247 | 59th | |
| AIME 2025 | 74.8 | 158 | 74th | |
| LiveCodeBench | 70.5 | 181 | 70th | |
| IFEval | 84.2 | 211 | 65th | |
| TruthfulQA | 76.0 | 305 | 49th | |
| HellaSwag | 87.0 | 178 | 70th | |
| MMMU | 70.0 | 303 | 50th | |
| Arena Elo | 1382.5 | 268 | 55th |
What Llama 3 Lambda Instruct is good for
Llama 3 Lambda Instruct 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 $3.92 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 $3.92 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 |
|---|---|---|---|---|
| Codestral Chat | Mistral AI | 32768 | $3.89 | 75.8 |
| Hunyuan-Turbo | Tencent | 128000 | $10.55 | 75.8 |
| Llama 3 Lambda Instruct | Lambda | 32768 | $3.92 | 75.8 |
| Llama 3 Anyscale Instruct | Anyscale | 200000 | $3.91 | 75.7 |
| Llama 3 Replicate | Replicate | 200000 | $3.75 | 75.7 |
| Llama 3.1 Instruct | Meta AI | 200000 | $4.05 | 75.7 |
FAQ
How much does Llama 3 Lambda Instruct cost?
Llama 3 Lambda Instruct is listed at $3.92 per million input tokens and $19.48 per million output tokens. Cached input is $0.56 per million tokens. A blended 3:1 input-to-output mix is about $7.81 per million tokens.
What is the context window of Llama 3 Lambda Instruct?
Llama 3 Lambda Instruct has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is Llama 3 Lambda Instruct open weights?
Yes. Llama 3 Lambda Instruct is listed as an open-weight model under a open weights licence.
How does Llama 3 Lambda Instruct score on benchmarks?
Llama 3 Lambda Instruct averages 75.8 across the scored benchmarks in this index, ranking #229 of 600 models. Its strongest relative result is Arena Elo at 1382.5.
What is Llama 3 Lambda Instruct best for?
Llama 3 Lambda Instruct 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 $3.92 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.