Head-to-head · multimodal vs multimodal

Command A Max vs ERNIE 4.5 Reasoning: which model should you choose?

We compared Command A Max and ERNIE 4.5 Reasoning on price, context window and 12 benchmarks. Command A Max has the stronger average benchmark score; Command A Max is cheaper on a blended 3:1 basis.

Cohere

Command A Max

Command A Max is a multimodal model from Cohere. It offers a 400,000-token context window, costs $14.28 per million input tokens and $70.22 per million output tokens, and averages 79.9 across the index's benchmark suite.

Input
$14.28 / 1M
Output
$70.22 / 1M
Context
400,000
Avg score
79.9
Open weights
No
Full Command A Max page
Baidu

ERNIE 4.5 Reasoning

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.

Input
$14.36 / 1M
Output
$78.75 / 1M
Context
1,000,000
Avg score
79.8
Open weights
No
Full ERNIE 4.5 Reasoning page

Specification comparison

SpecCommand A MaxERNIE 4.5 ReasoningEdge
Input price / 1M$14.28$14.36A
Output price / 1M$70.22$78.75A
Context window400,0001,000,000B
Max output8,1928,192Tie
Average score79.979.8A
Arena Elo1443.71421.5A
Open weightsNoNoTie

Benchmark comparison

Command A Max wins 5, ERNIE 4.5 Reasoning wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkCommand A MaxERNIE 4.5 ReasoningGapWinner
MMLU-Pro84.380.63.7Command A Max
GPQA Diamond74.575.71.2ERNIE 4.5 Reasoning
SWE-bench Verified69.769.80.1ERNIE 4.5 Reasoning
HumanEval83.485.01.6ERNIE 4.5 Reasoning
MATH-50085.782.53.2Command A Max
AIME 202577.278.10.9ERNIE 4.5 Reasoning
LiveCodeBench73.171.91.2Command A Max
IFEval86.788.72.0ERNIE 4.5 Reasoning
TruthfulQA82.282.90.7ERNIE 4.5 Reasoning
HellaSwag87.188.00.9ERNIE 4.5 Reasoning
MMMU74.674.40.2Command A Max
Arena Elo1443.71421.522.2Command A Max

Price analysis

On a blended 3:1 input-to-output basis, Command A Max costs about $28.27 per million tokens and ERNIE 4.5 Reasoning costs about $30.46. Command A Max is roughly 7% cheaper than ERNIE 4.5 Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

ERNIE 4.5 Reasoning has the larger context window at 1,000,000 tokens, compared with 400,000 for Command A Max. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Command A Max wins 5, ERNIE 4.5 Reasoning wins 7, and 0 are tied. On the index average, Command A Max leads ERNIE 4.5 Reasoning by 0.1 points (79.9 versus 79.8).

The price picture favours Command A Max. The context picture favours ERNIE 4.5 Reasoning. 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 Command A Max for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose Command A Max if

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

Choose ERNIE 4.5 Reasoning if

  • You need the larger 1,000,000-token context window.
  • The workload needs multi-step reasoning.

FAQ

Is Command A Max better than ERNIE 4.5 Reasoning?

On the index average, Command A Max leads ERNIE 4.5 Reasoning by 0.1 points (79.9 versus 79.8). The better choice depends on price, context and your task. Command A Max wins 5 benchmarks, ERNIE 4.5 Reasoning wins 7.

Which is cheaper, Command A Max or ERNIE 4.5 Reasoning?

Command A Max is cheaper on a blended 3:1 basis at about $28.27 per million tokens, versus $30.46 for ERNIE 4.5 Reasoning.

Which has the larger context window?

ERNIE 4.5 Reasoning has the larger context window at 1,000,000 tokens. Command A Max has 400,000 tokens.

Are these models open weights?

Command A Max is proprietary; ERNIE 4.5 Reasoning is proprietary.

Which should I choose for production?

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

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