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Favicon for motif-technologies

Motif Technologies: Motif 3

motif-technologies/motif-3

Model weights
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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.

Modalities
In / out price
$0.30 / $1.20per 1M
Context
262K
Released
Nov 2, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

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.

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).

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.

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.

Benchmark score summary for Motif Technologies: Motif 3 (Artificial Analysis)
SourceBenchmarkScore
Artificial AnalysisMotif 3 Coding Index63.5
Artificial AnalysisMotif 3 Agentic Index28.4
Artificial AnalysisMotif 3 GPQA Diamond83.4%
Artificial AnalysisMotif 3 HLE37.0%
Artificial AnalysisMotif 3 AA-LCR76.0%
Artificial AnalysisMotif 3 τ-Bench Banking35.3%
Artificial AnalysisMotif 3 GDPval-AA31.4%
Artificial AnalysisMotif 3 CritPt6.6%
Artificial AnalysisMotif 3 SciCode42.2%
Artificial AnalysisMotif 3 Terminal-Bench 2.174.9%

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

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AI Model RankingsRanking
Latency / throughput
$0.30$1.20$0.060.30s95 tok/s
100.00%
ProviderInput / Output /M
ThroughputUptime
  • Favicon for KT
    Input $0.30 / Output $1.20
    Throughput 95 tok/sUptime 100.00%
Throughput
95tok/s

P50, best across providers

Latency
0.29s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
99.72%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.58%

Availability over the last 3 days

Last 72 hours
Availability 99.58%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.59%

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.

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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.

No. Motif 3 does not accept tools, so function calling is unavailable. 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.