Decision support

Qwen-Omni Turbo vs Slam-1

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

Slam-1

AssemblyAI

Benchmark results

No benchmark results have been matched to these models yet.

Model specifications

Release date
January 19, 2025
April 23, 2025
Context window
33K
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Native context
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Max output tokens
2,048
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Knowledge cutoff
2024-04
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Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
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Output
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Cached input
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Cache write
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Capabilities and modalities

Input modalities
text, image, audio, video
audio
Output modalities
text, audio
transcription
Tool calling
Supported
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Reasoning option
—
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Supported options
tools, temperature
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Capabilities
—
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Architecture and availability

Architecture
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Model families
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Tokenizer
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Instruction format
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License
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proprietary
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
models.dev
curated

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

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