Motif 3
Motif-Technologiesmittext

Motif 3

Updated Aug 29, 2026
Parameters
314.8B
Context
262,144
License
mit
Updated
Aug 29, 2026

Intelligence benchmarks

Artificial Analysis indexes - compared with the best open and proprietary models

Intelligence

47.4

AA Index

Agentic

37.6

AA Index

Intelligence Index - Motif 3 vs. the field

Best open-weight models (you can run locally) and leading proprietary models for context.

Claude Opus 5 (max)
63.1
closed
Claude Fable 5 (with fallback)
62.1
closed
GPT-5.6 Sol (max)
60.9
closed
Grok 4.6 (high)
60.9
closed
Kimi K3
59.7
open
GLM-5.3 (max)
59.5
open
Qwen3.8 Max
58.1
closed
Motif 3
47.4
open

Agentic Index comparison

Claude Opus 5 (max)
59.2
closed
GLM-5.3 (max)
59.1
open
Grok 4.6 (high)
58.7
closed
Qwen3.8 Max
58.4
closed
GLM-5.3-Flash
58.2
open
GPT-5.6 Sol (max)
57.8
closed
Qwen3.8 2.4T A95B
57.1
open
Motif 3
37.6
open

Benchmark data from Artificial Analysis · updated 2026-08-29.

Standard benchmarks

Performance across standard evaluations

BenchmarkScore
GPQA83.4

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Too big for 24 GB at any quant
0 of 4 quantizations fit Motif 3 with real runtime overhead.
Q4_K_M
183 GB
Q5_K_M
224 GB
Q8_0
337 GB
FP16
630 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve Motif-Technologies/Motif-3

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Motif 3 is a 314.8B-parameter mit model from Motif Technologies. It scores 47.4 on the Artificial Analysis Intelligence Index. At Q4_K_M it needs roughly 183 GB of VRAM, placing it in the 48 GB+ / multi-GPU hardware tier.

Benchmarks

Artificial Analysis Intelligence Index - Motif 3 vs. leading closed models:

ModelIntelligenceCodingGPQA
Motif 347.4-83.4
Claude Opus 5 (max)63.1-93.2
Claude Fable 5 (with fallback)62.1-92.6
GPT-5.6 Sol (max)60.9-94.1
Grok 4.6 (high)60.9-94.9
GLM-5.3 (max)59.5-91.7

Source: Artificial Analysis (2026-08-27).

Popularity

Motif 3 has 4,414 downloads in the last month on HuggingFace and 127 likes.

Frequently asked

Quick answers to common questions

How much VRAM does Motif 3 need?

Motif 3 with 314.8B parameters needs approximately 183 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Motif 3 better than other Motif-Technologies models?

Motif 3 has 314.8B parameters with 262,144 context - a strong choice for general use.

What license is Motif 3 under?

Motif 3 is released under the mit license, making it suitable for most commercial and personal projects.

What hardware runs Motif 3 well?

With 314.8B parameters, Motif 3 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Motif 3?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~224 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can Motif 3's context window handle?

Motif 3 supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with Motif 3?

Motif 3 competes with other 157B–472B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec

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