Baidu · multimodal · Released 2025-04-26

ERNIE 4.5 Reasoning: pricing, context window and benchmarks

ERNIE 4.5 Reasoning is a multimodal model from Baidu. It offers a 1,000,000-token context window, costs $14.36 per million input tokens and $78.75 per million output tokens, and averages 79.8 across the index's benchmark suite.

reasoningcodingvisionlong contextmultimodal
Input price
$14.36
per 1M tokens
Output price
$78.75
per 1M tokens
Context
1,000,000
tokens
Avg score
79.8
rank #124 of 600
Arena Elo
1421.5
modelled
Max output
8,192
tokens

Pricing

ERNIE 4.5 Reasoning costs $14.36 per million input tokens and $78.75 per million output tokens. A blended 3:1 input-to-output mix works out to about $30.46 per million tokens. Cached input is listed at $1.90 per million tokens.

ItemPriceNotes
Input$14.36per 1M tokens
Output$78.75per 1M tokens
Cached input$1.90per 1M tokens
Blended 3:1$30.46estimate per 1M tokens
1M in + 1M out$93.11estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.6 162 73th
GPQA Diamond 75.7 129 79th
SWE-bench Verified 69.8 114 81th
HumanEval 85.0 116 81th
MATH-500 82.5 154 74th
AIME 2025 78.1 114 81th
LiveCodeBench 71.9 148 75th
IFEval 88.7 88 85th
TruthfulQA 82.9 108 82th
HellaSwag 88.0 140 77th
MMMU 74.4 171 72th
Arena Elo 1421.5 141 77th

What ERNIE 4.5 Reasoning is good for

ERNIE 4.5 Reasoning 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 $14.36 per million input tokens, it sits in the mid-range of the index, and the 1,000,000-token context window is enough for large files and multi-file diffs.

Strengths

  • Large 1,000,000-token context window for long documents and agent traces.
  • Accepts more than text, including image input where the provider supports it.
  • Reasoning-oriented profile, useful for multi-step problems and structured analysis.
  • 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 $14.36 per million tokens.

How it compares

ModelProviderContextInput / 1MAvg score
Command A Turbo Cohere 32768 $13.53 79.8
ERNIE 4.5 Reasoning Baidu 1000000 $14.36 79.8
GLM-4.6 Chat Zhipu AI 400000 $4.89 79.8
Magistral Mistral AI 200000 $4.75 79.8
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7

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FAQ

How much does ERNIE 4.5 Reasoning cost?

ERNIE 4.5 Reasoning is listed at $14.36 per million input tokens and $78.75 per million output tokens. Cached input is $1.90 per million tokens. A blended 3:1 input-to-output mix is about $30.46 per million tokens.

What is the context window of ERNIE 4.5 Reasoning?

ERNIE 4.5 Reasoning has a context window of 1,000,000 tokens and can emit up to 8,192 output tokens per request in this index.

Is ERNIE 4.5 Reasoning open weights?

No. ERNIE 4.5 Reasoning is a proprietary model with a proprietary licence, so you cannot download the weights.

How does ERNIE 4.5 Reasoning score on benchmarks?

ERNIE 4.5 Reasoning averages 79.8 across the scored benchmarks in this index, ranking #124 of 600 models. Its strongest relative result is Arena Elo at 1421.5.

What is ERNIE 4.5 Reasoning best for?

ERNIE 4.5 Reasoning 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 $14.36 per million input tokens, it sits in the mid-range of the index, and the 1,000,000-token context window is enough for large files and multi-file diffs.

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