ERNIE 4.5 Max: pricing, context window and benchmarks
ERNIE 4.5 Max is a multimodal model from Baidu. It offers a 128,000-token context window, costs $14.41 per million input tokens and $53.71 per million output tokens, and averages 80.6 across the index's benchmark suite.
Pricing
ERNIE 4.5 Max costs $14.41 per million input tokens and $53.71 per million output tokens. A blended 3:1 input-to-output mix works out to about $24.23 per million tokens. Cached input is listed at $2.03 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $14.41 | per 1M tokens |
| Output | $53.71 | per 1M tokens |
| Cached input | $2.03 | per 1M tokens |
| Blended 3:1 | $24.23 | estimate per 1M tokens |
| 1M in + 1M out | $68.12 | 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 | 153 | 75th | |
| GPQA Diamond | 76.4 | 111 | 82th | |
| SWE-bench Verified | 68.9 | 131 | 78th | |
| HumanEval | 87.7 | 75 | 88th | |
| MATH-500 | 84.2 | 121 | 80th | |
| AIME 2025 | 79.5 | 95 | 84th | |
| LiveCodeBench | 73.0 | 126 | 79th | |
| IFEval | 87.1 | 129 | 79th | |
| TruthfulQA | 83.6 | 90 | 85th | |
| HellaSwag | 87.7 | 152 | 75th | |
| MMMU | 78.1 | 95 | 84th | |
| Arena Elo | 1423.7 | 131 | 78th |
What ERNIE 4.5 Max is good for
ERNIE 4.5 Max is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $14.41 per million input tokens, it sits in the mid-range of the index, and the 128,000-token context window is enough for large files and multi-file diffs.
Strengths
- Large 128,000-token context window for long documents and agent traces.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Premium input pricing at $14.41 per million tokens.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Kimi K1.5 | Moonshot AI | 128000 | $5.19 | 80.7 |
| ERNIE 4.5 Max | Baidu | 128000 | $14.41 | 80.6 |
| MiniMax-M2 | MiniMax | 200000 | $5.19 | 80.6 |
| ERNIE 4.5 Pro | Baidu | 1000000 | $13.89 | 80.5 |
| Kimi K1.5 Instruct | Moonshot AI | 200000 | $5.15 | 80.5 |
| Sonar Pro Reasoning | Perplexity | 128000 | $13.94 | 80.5 |
FAQ
How much does ERNIE 4.5 Max cost?
ERNIE 4.5 Max is listed at $14.41 per million input tokens and $53.71 per million output tokens. Cached input is $2.03 per million tokens. A blended 3:1 input-to-output mix is about $24.23 per million tokens.
What is the context window of ERNIE 4.5 Max?
ERNIE 4.5 Max has a context window of 128,000 tokens and can emit up to 65,536 output tokens per request in this index.
Is ERNIE 4.5 Max open weights?
No. ERNIE 4.5 Max is a proprietary model with a proprietary licence, so you cannot download the weights.
How does ERNIE 4.5 Max score on benchmarks?
ERNIE 4.5 Max averages 80.6 across the scored benchmarks in this index, ranking #104 of 600 models. Its strongest relative result is Arena Elo at 1423.7.
What is ERNIE 4.5 Max best for?
ERNIE 4.5 Max is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $14.41 per million input tokens, it sits in the mid-range of the index, and the 128,000-token context window is enough for large files and multi-file diffs.