Decision support

Baichuan M2 32B vs DeepSeek-V3.1

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

DeepSeek-V3.1

DeepSeek

Sources:models.dev

Benchmark results

No benchmark results have been matched to these models yet.

Model specifications

Release date
August 13, 2025
August 21, 2025
Context window
131K
131K
Native context
—
—
Max output tokens
131,072
8,192
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
32B
685B

API pricing · USD per 1M tokens

Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text
text
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
Supported
Supported
Supported options
reasoning, temperature
tools, reasoning, temperature
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Apache-2.0
MIT License
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
ai-research
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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