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Mistral · open-weights

Mistral Medium 3.5

Mistral Medium 3.5 is an open-weights language model from Mistral, released April 28, 2026. Its makers disclosed about 128B parameters. The context window is 256K tokens. On the Epoch Capabilities Index it scores 141.6, rank 114 of 256 rated models. API price: $1.5 input / $7.5 output per million tokens.

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Lab
Mistral
Released
April 28, 2026
Weights
Open restricted use
Parameters
128B disclosed
Context
256K
Price / M tokens
$1.5 / $7.5 in / out
Epoch ECI
141.6 #114

Can you run Mistral Medium 3.5 locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Benchmark (Epoch AI)Score
ProofBench9.0%

Links

Announcement · Epoch AI benchmarks

Models with a similar score

Kimi K2 Thinking · o4-mini · Gemini 3.1 Flash-Lite · Gemini 2.5 Pro (Jun 2025) · Claude Opus 4.1 · DeepSeek-V3.2-Exp · Grok 4 Fast · Gemma 4 31B IT

More from Mistral

Mistral Large 4 · Mistral Large 4 Preview · Mistral Large 4 1T A52B · Leanstral 1.5 · Mistral Small 4 · Devstral Small 2 · Devstral 2 · Ministral 3 3B

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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