Head-to-head · multimodal vs multimodal

Doubao 1.5 Pro Turbo vs ERNIE 4.5 Turbo: which model should you choose?

We compared Doubao 1.5 Pro Turbo and ERNIE 4.5 Turbo on price, context window and 12 benchmarks. ERNIE 4.5 Turbo has the stronger average benchmark score; ERNIE 4.5 Turbo is cheaper on a blended 3:1 basis.

ByteDance

Doubao 1.5 Pro Turbo

Doubao 1.5 Pro Turbo is a multimodal model from ByteDance. It offers a 128,000-token context window, costs $13.81 per million input tokens and $71.10 per million output tokens, and averages 79.4 across the index's benchmark suite.

Input
$13.81 / 1M
Output
$71.10 / 1M
Context
128,000
Avg score
79.4
Open weights
No
Full Doubao 1.5 Pro Turbo page
Baidu

ERNIE 4.5 Turbo

ERNIE 4.5 Turbo is a multimodal model from Baidu. It offers a 128,000-token context window, costs $13.75 per million input tokens and $54.36 per million output tokens, and averages 79.7 across the index's benchmark suite.

Input
$13.75 / 1M
Output
$54.36 / 1M
Context
128,000
Avg score
79.7
Open weights
No
Full ERNIE 4.5 Turbo page

Specification comparison

SpecDoubao 1.5 Pro TurboERNIE 4.5 TurboEdge
Input price / 1M$13.81$13.75B
Output price / 1M$71.10$54.36B
Context window128,000128,000Tie
Max output65,53632,768A
Average score79.479.7B
Arena Elo1433.01419.8A
Open weightsNoNoTie

Benchmark comparison

Doubao 1.5 Pro Turbo wins 7, ERNIE 4.5 Turbo wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkDoubao 1.5 Pro TurboERNIE 4.5 TurboGapWinner
MMLU-Pro80.384.03.7ERNIE 4.5 Turbo
GPQA Diamond75.473.02.4Doubao 1.5 Pro Turbo
SWE-bench Verified67.767.50.2Doubao 1.5 Pro Turbo
HumanEval85.086.41.4ERNIE 4.5 Turbo
MATH-50081.486.45.0ERNIE 4.5 Turbo
AIME 202575.680.75.1ERNIE 4.5 Turbo
LiveCodeBench72.370.51.8Doubao 1.5 Pro Turbo
IFEval88.985.23.7Doubao 1.5 Pro Turbo
TruthfulQA80.982.51.6ERNIE 4.5 Turbo
HellaSwag88.287.01.2Doubao 1.5 Pro Turbo
MMMU77.673.73.9Doubao 1.5 Pro Turbo
Arena Elo1433.01419.813.2Doubao 1.5 Pro Turbo

Price analysis

On a blended 3:1 input-to-output basis, Doubao 1.5 Pro Turbo costs about $28.13 per million tokens and ERNIE 4.5 Turbo costs about $23.90. ERNIE 4.5 Turbo is roughly 15% cheaper than Doubao 1.5 Pro Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Both models list a 128,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Doubao 1.5 Pro Turbo wins 7, ERNIE 4.5 Turbo wins 5, and 0 are tied. On the index average, ERNIE 4.5 Turbo leads Doubao 1.5 Pro Turbo by 0.3 points (79.7 versus 79.4).

The price picture favours ERNIE 4.5 Turbo. The context picture is effectively a tie. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with ERNIE 4.5 Turbo for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Doubao 1.5 Pro Turbo if

  • You need the larger 65,536-token output limit.

Choose ERNIE 4.5 Turbo if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.

FAQ

Is Doubao 1.5 Pro Turbo better than ERNIE 4.5 Turbo?

On the index average, ERNIE 4.5 Turbo leads Doubao 1.5 Pro Turbo by 0.3 points (79.7 versus 79.4). The better choice depends on price, context and your task. Doubao 1.5 Pro Turbo wins 7 benchmarks, ERNIE 4.5 Turbo wins 5.

Which is cheaper, Doubao 1.5 Pro Turbo or ERNIE 4.5 Turbo?

ERNIE 4.5 Turbo is cheaper on a blended 3:1 basis at about $23.90 per million tokens, versus $28.13 for Doubao 1.5 Pro Turbo.

Which has the larger context window?

Both models list a 128,000-token context window.

Are these models open weights?

Doubao 1.5 Pro Turbo is proprietary; ERNIE 4.5 Turbo is proprietary.

Which should I choose for production?

If you need a single default, start with ERNIE 4.5 Turbo for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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