Will It Run AI
CalculatorModelsHardwareCompare
Product
  • Calculator
  • Compare
  • Tier List
Browse
  • Models
  • Hardware
  • Docs
About
  • Why It Works
  • What's New
  • Legal Notice
  • Privacy Policy

All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/Devstral 2 123B Instruct

MistralMistral

Devstral 2 123B Instruct

Frontier
huggingfaceHuggingFace
50.9KDownloads304LikesNov 2025Released256K tokensContextMistral Research LicenseLicense5 EntryQuality

Get started

— copy & paste to run locally
HuggingFace
huggingface-cli download devstral-2-123b

Quick specs

Parameters123B
Architecturedense
Context256K tokens
Modalitytext+vision
Min RAM48 GB
Rec. RAM75 GB (Q4_K_M)
LicenseMistral Research License
FamilyDevstral
✓ Code✓ Reasoning

About this model

Devstral is an agentic LLM for software engineering tasks. Devstral 2 excels at using tools to explore codebases, editing multiple files and power software engineering agents. The model achieves remarkable performance on SWE-bench.

  • •Agentic Coding: Devstral is designed to excel at agentic coding tasks, making it a great choice for software engineering agents
  • •Improved Performance: Devstral 2 is a step-up compared to its predecessors
  • •Better Generalization: Generalises better to diverse prompts and coding environments
  • •Context Window: A 256k context window

Your hardware

Detecting...

Quick picks

AMD
Best budgetC
AMD Instinct MI350X 288GB~$8,000 — 78 tok/s
NVIDIA
Best overallB
NVIDIA B200 180GB~$30,000 — 90 tok/s

Best hardware

Top picks for Devstral 2 123B Instruct

NVIDIA
NVIDIA B200 180GBB
180 GB
NVIDIA
NVIDIA H200 141GBB
141 GB
NVIDIA
NVIDIA H200 PCIe 141GBB
141 GB
NVIDIA
H100 NVL 188GBC
188 GB
NVIDIA
B100 192GBC
192 GB

Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
48.0 GB
Low—
Q3_K_S
3
60.3 GB
Low—
NVFP4
4
68.9 GB
Medium—
Q4_K_M
4
75.0 GB
Medium—
Q5_K_M
5
88.6 GB
High—
Q6_K
6
100.9 GB
High—
Q8_0
8
131.6 GB
Very High—
F16
16
252.2 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights75.0 GB
KV Cache19.2 GB
Runtime0.9 GB
Headroom2.4 GB