Head-to-head · multimodal vs multimodal

ERNIE 4.5 Turbo vs MiniMax-M2 Chat: which model should you choose?

We compared ERNIE 4.5 Turbo and MiniMax-M2 Chat on price, context window and 12 benchmarks. MiniMax-M2 Chat has the stronger average benchmark score; MiniMax-M2 Chat is cheaper on a blended 3:1 basis.

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
MiniMax

MiniMax-M2 Chat

MiniMax-M2 Chat is a multimodal model from MiniMax. It offers a 200,000-token context window, costs $5.02 per million input tokens and $18.95 per million output tokens, and averages 80.2 across the index's benchmark suite.

Input
$5.02 / 1M
Output
$18.95 / 1M
Context
200,000
Avg score
80.2
Open weights
Yes
Full MiniMax-M2 Chat page

Specification comparison

SpecERNIE 4.5 TurboMiniMax-M2 ChatEdge
Input price / 1M$13.75$5.02B
Output price / 1M$54.36$18.95B
Context window128,000200,000B
Max output32,7688,192A
Average score79.780.2B
Arena Elo1419.81443.0B
Open weightsNoYesB

Benchmark comparison

ERNIE 4.5 Turbo wins 6, MiniMax-M2 Chat wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkERNIE 4.5 TurboMiniMax-M2 ChatGapWinner
MMLU-Pro84.084.30.3MiniMax-M2 Chat
GPQA Diamond73.077.84.8MiniMax-M2 Chat
SWE-bench Verified67.566.41.1ERNIE 4.5 Turbo
HumanEval86.484.22.2ERNIE 4.5 Turbo
MATH-50086.486.00.4ERNIE 4.5 Turbo
AIME 202580.778.32.4ERNIE 4.5 Turbo
LiveCodeBench70.570.40.1ERNIE 4.5 Turbo
IFEval85.288.02.8MiniMax-M2 Chat
TruthfulQA82.580.32.2ERNIE 4.5 Turbo
HellaSwag87.087.80.8MiniMax-M2 Chat
MMMU73.779.25.5MiniMax-M2 Chat
Arena Elo1419.81443.023.2MiniMax-M2 Chat

Price analysis

On a blended 3:1 input-to-output basis, ERNIE 4.5 Turbo costs about $23.90 per million tokens and MiniMax-M2 Chat costs about $8.50. MiniMax-M2 Chat is roughly 64% cheaper than ERNIE 4.5 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

MiniMax-M2 Chat has the larger context window at 200,000 tokens, compared with 128,000 for ERNIE 4.5 Turbo. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, ERNIE 4.5 Turbo wins 6, MiniMax-M2 Chat wins 6, and 0 are tied. On the index average, MiniMax-M2 Chat leads ERNIE 4.5 Turbo by 0.5 points (80.2 versus 79.7).

The price picture favours MiniMax-M2 Chat. The context picture favours MiniMax-M2 Chat. 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 MiniMax-M2 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose ERNIE 4.5 Turbo if

  • You need the larger 32,768-token output limit.

Choose MiniMax-M2 Chat if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 200,000-token context window.
  • You need open weights for self-hosting or fine-tuning.

FAQ

Is ERNIE 4.5 Turbo better than MiniMax-M2 Chat?

On the index average, MiniMax-M2 Chat leads ERNIE 4.5 Turbo by 0.5 points (80.2 versus 79.7). The better choice depends on price, context and your task. ERNIE 4.5 Turbo wins 6 benchmarks, MiniMax-M2 Chat wins 6.

Which is cheaper, ERNIE 4.5 Turbo or MiniMax-M2 Chat?

MiniMax-M2 Chat is cheaper on a blended 3:1 basis at about $8.50 per million tokens, versus $23.90 for ERNIE 4.5 Turbo.

Which has the larger context window?

MiniMax-M2 Chat has the larger context window at 200,000 tokens. ERNIE 4.5 Turbo has 128,000 tokens.

Are these models open weights?

ERNIE 4.5 Turbo is proprietary; MiniMax-M2 Chat is open weights.

Which should I choose for production?

If you need a single default, start with MiniMax-M2 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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