Yi-Lightning 7B: pricing, context window and benchmarks
Yi-Lightning 7B is a small open-weight model from 01.AI. It offers a 32,768-token context window, costs $1.00 per million input tokens and $3.69 per million output tokens, and averages 55.9 across the index's benchmark suite.
Pricing
Yi-Lightning 7B costs $1.00 per million input tokens and $3.69 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.67 per million tokens. Cached input is listed at $0.11 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.00 | per 1M tokens |
| Output | $3.69 | per 1M tokens |
| Cached input | $0.11 | per 1M tokens |
| Blended 3:1 | $1.67 | estimate per 1M tokens |
| 1M in + 1M out | $4.69 | 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 | 62.0 | 503 | 16th | |
| GPQA Diamond | 50.6 | 517 | 14th | |
| SWE-bench Verified | 39.7 | 526 | 12th | |
| HumanEval | 58.0 | 525 | 13th | |
| MATH-500 | 60.0 | 466 | 22th | |
| AIME 2025 | 41.5 | 534 | 11th | |
| LiveCodeBench | 45.8 | 490 | 18th | |
| IFEval | 65.7 | 526 | 12th | |
| TruthfulQA | 62.5 | 496 | 17th | |
| HellaSwag | 71.6 | 508 | 15th | |
| MMMU | 57.0 | 471 | 22th | |
| Arena Elo | 1261.9 | 472 | 21th |
What Yi-Lightning 7B is good for
Yi-Lightning 7B 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 $1.00 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $1.00 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- 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 Hyperbolic 8B | Hyperbolic | 16384 | $0.92 | 56.0 |
| Llama 3 Replicate 7B | Replicate | 32768 | $0.91 | 56.0 |
| Gemma 3 7B | Google DeepMind | 32768 | $0.90 | 55.9 |
| Pythia Base | EleutherAI | 16384 | $0.99 | 55.9 |
| Yi-Lightning 7B | 01.AI | 32768 | $1.00 | 55.9 |
| Embed 4 Mini | Cohere | 4096 | $2.48 | 55.8 |
FAQ
How much does Yi-Lightning 7B cost?
Yi-Lightning 7B is listed at $1.00 per million input tokens and $3.69 per million output tokens. Cached input is $0.11 per million tokens. A blended 3:1 input-to-output mix is about $1.67 per million tokens.
What is the context window of Yi-Lightning 7B?
Yi-Lightning 7B has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is Yi-Lightning 7B open weights?
Yes. Yi-Lightning 7B is listed as an open-weight model under a open weights licence.
How does Yi-Lightning 7B score on benchmarks?
Yi-Lightning 7B averages 55.9 across the scored benchmarks in this index, ranking #509 of 600 models. Its strongest relative result is Arena Elo at 1261.9.
What is Yi-Lightning 7B best for?
Yi-Lightning 7B 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 $1.00 per million input tokens it can handle a large share of production traffic.