Motif 3
by Motif TechnologiesChat
Motif 3 is a large-scale, decoder-only Mixture-of-Experts (MoE) language model with 314 billion total parameters and 13.2 billion parameters activated per token.
- Context
- 262K tokens
- Max output
- 262,144 tokens
- Parameters
- 314B total, 13.2B active
- Released
- 2026-08-07
- Weights
- Open
motif-technologies/motif-3
Specifications
Full facts as recorded, incl. what is unknown.
- Released
- 2026-08-07
- Weights
- Open
- Input
- Text
- Output
- Text
- Context window
- 262,144 max across endpoints
- Max output
- 262,144
- Providers
- 0 + 1 gateway, not counted as providers
- Epoch Capabilities Index
- not evaluated
- Direct price range
- $0.50 in at ai&, via gateway, fees not verified
More details
- Last updated
- 2026-08-07
- Knowledge cutoff
- Parameters
- 314B total, 13.2B active
- Developer country
- South Korea
- Training compute
- 1.1×10²⁴ FLOP
Capabilities
Across all endpoints: supported if any endpoint supports it.
- Tool calling
- Parallel toolsunknown
- Structured output
- Reasoning
- Image input
- PDF input
- Audio input
- Audio outputunknown
- Video input
- Prompt cachingunknown
- Web searchunknown
- Computer useunknown
- System messagesunknown
- Assistant prefillunknown
- Temperature
- Streamingunknown
- Attachments
Endpoints
One row per provider and variant; gateways are listed separately.
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Cost calculator
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Similarly priced models
Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).
| Model | Blended/1M | In/1M | Out/1M | Context | vs Motif 3 |
|---|---|---|---|---|---|
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| GLM 4.6 OriginalZ.ai (Zhipu AI) | $0.75 | $0.50 | $2.00 | 256K | +0% |
| GLM-5.3Z.ai (Zhipu AI) | $0.75 | $0.50 | $2.00 | 1.05M | +0% |
| Doubao Seed 2.0 ProByteDance Seed | $0.748 | $0.45 | $2.24 | 256K | −0% cheaper |
| Seed 2.0 CodeByteDance Seed | $0.733 | $0.40 | $2.40 | 262K | −2% cheaper |
| Devstral 2Mistral AI | $0.733 | $0.44 | $2.20 | 262K | −2% cheaper |
Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model