ERNIE 4.0 Mini: pricing, context window and benchmarks
ERNIE 4.0 Mini is a mid-range model from Baidu. It offers a 32,768-token context window, costs $7.11 per million input tokens and $27.17 per million output tokens, and averages 68.8 across the index's benchmark suite.
Pricing
ERNIE 4.0 Mini costs $7.11 per million input tokens and $27.17 per million output tokens. A blended 3:1 input-to-output mix works out to about $12.12 per million tokens. Cached input is listed at $0.70 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $7.11 | per 1M tokens |
| Output | $27.17 | per 1M tokens |
| Cached input | $0.70 | per 1M tokens |
| Blended 3:1 | $12.12 | estimate per 1M tokens |
| 1M in + 1M out | $34.28 | 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 | 72.5 | 374 | 38th | |
| GPQA Diamond | 62.3 | 388 | 35th | |
| SWE-bench Verified | 56.0 | 377 | 37th | |
| HumanEval | 75.3 | 337 | 44th | |
| MATH-500 | 71.6 | 371 | 38th | |
| AIME 2025 | 61.0 | 381 | 37th | |
| LiveCodeBench | 61.7 | 352 | 41th | |
| IFEval | 76.5 | 382 | 36th | |
| TruthfulQA | 71.5 | 389 | 35th | |
| HellaSwag | 82.8 | 325 | 46th | |
| MMMU | 66.0 | 372 | 38th | |
| Arena Elo | 1330.5 | 388 | 35th |
What ERNIE 4.0 Mini is good for
ERNIE 4.0 Mini is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $7.11 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.
Strengths
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Firesearch Reasoning | Fireworks AI | 32768 | $7.74 | 69.0 |
| Phi-3.5 Chat | Microsoft | 16384 | $2.64 | 69.0 |
| Claude 3.7 Sonnet Nano | Anthropic | 65536 | $6.93 | 68.9 |
| Arctic | Snowflake | 8192 | $2.72 | 68.8 |
| ERNIE 4.0 Mini | Baidu | 32768 | $7.11 | 68.8 |
| Claude Haiku 4.5 Nano | Anthropic | 8192 | $6.47 | 68.7 |
FAQ
How much does ERNIE 4.0 Mini cost?
ERNIE 4.0 Mini is listed at $7.11 per million input tokens and $27.17 per million output tokens. Cached input is $0.70 per million tokens. A blended 3:1 input-to-output mix is about $12.12 per million tokens.
What is the context window of ERNIE 4.0 Mini?
ERNIE 4.0 Mini has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.
Is ERNIE 4.0 Mini open weights?
No. ERNIE 4.0 Mini is a proprietary model with a proprietary licence, so you cannot download the weights.
How does ERNIE 4.0 Mini score on benchmarks?
ERNIE 4.0 Mini averages 68.8 across the scored benchmarks in this index, ranking #376 of 600 models. Its strongest relative result is Arena Elo at 1330.5.
What is ERNIE 4.0 Mini best for?
ERNIE 4.0 Mini is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $7.11 per million input tokens with a 32,768-token window, check its benchmark profile against the specific task before committing.