Motif Technologies: Motif 3
motif-technologies/motif-3
Model weightsMotif 3 is a Mixture-of-Experts language model from Motif Technologies, with 314B total and 13.2B active parameters. It is a general-purpose multilingual model for English and Korean, particularly strong at long-horizon agentic tool use and terminal-based problem solving, with additional training emphasis on Korean, reasoning-intensive, legal, and financial data.
Providers
This model is hosted by one provider. OpenRouter forwards every request without routing.
| $0.30 | $1.20 | $0.06 | 0.44s | 95 tok/s |
- Input $0.30 / Output $1.2095 tok/s100.00% uptime
Pricing
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Weighted average
Motif 3 — Price history
| $0.208 | $1.20 | 38.3% | 100.0% |
- Effective in $0.208 / Effective out $1.20Token share100.0%
Performance
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
P50, best across providers
P50, best provider
Uptime
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | Motif 3 Coding Index | 63.5 |
| Artificial Analysis | Motif 3 Agentic Index | 28.4 |
| Artificial Analysis | Motif 3 GPQA Diamond | 83.4% |
| Artificial Analysis | Motif 3 HLE | 37.0% |
| Artificial Analysis | Motif 3 AA-LCR | 76.0% |
| Artificial Analysis | Motif 3 τ-Bench Banking | 35.3% |
| Artificial Analysis | Motif 3 GDPval-AA | 31.4% |
| Artificial Analysis | Motif 3 CritPt | 6.6% |
| Artificial Analysis | Motif 3 SciCode | 42.2% |
| Artificial Analysis | Motif 3 Terminal-Bench 2.1 | 74.9% |
Apps
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Activity
Token volume and request traffic to this model over time.
API
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
Motif 3 is a Mixture-of-Experts language model from Motif Technologies, with 314B total and 13.2B active parameters. It is a general-purpose multilingual model for English and Korean, particularly strong at long-horizon agentic tool use and terminal-based problem solving, with additional training emphasis on Korean, reasoning-intensive, legal, and financial data.
Motif 3 costs $0.30/M input tokens and $1.20/M output tokens, with separate rates for Cache Read at $0.06/M tokens.
Motif 3 has a 262,144 token context window. It supports up to 262,144 completion tokens.
Yes. Motif 3 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Motif 3 is served by 1 provider on OpenRouter: KT.
Motif 3 was released on November 2, 2026.