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Model Pareto

Ministral 3 8B

Mistral AIOpen weightsartificialanalysis.ai ↗
Input
$0.15/M tok
Output
$0.15/M tok
Blended
$0.15/M tok · 3:1
Speed
87tok/s
Context
256Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Ministral 3 8B. Price = AA median host price.

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs, compared with the API price above.

Hardware
1× B200 180GB
BF16 weights
Throughput
~10,124 tok/s
many requests batched
Price
$0.083–0.74 /M tok
busy → light use
On your own machine
RTX 5090 32GB (int4, ~280 tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • BF16 weights (8.92B params) + 25% KV-cache headroom ≈ 22 GB
  • 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~10,124 output tok/s aggregate at batch 256 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~59,592 tok/s
  • Low = 75% utilization at the low GPU price; high = 20% at the high price

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

Writing & chat

Vision

MMMUEstimated
~#2 of 3 (estimated)~71.3%
  1. #1Claude Haiku 4.573.2%
  2. ~#2Ministral 3 8BEstimated71.3%
  3. #2Llama 4 Maverick69.4%
No published score — estimated from related benchmarks
~last of 9 (estimated)below measured range (<74.5%)
  1. #1Gemini 3.8 Flash86.2%
  2. #2Kimi K384.8%
  3. #8Gemini 3.5 Flash-Lite74.5%
  4. ~#9Ministral 3 8BEstimated<74.5%
No published score — estimated from related benchmarks
~last of 8 (estimated)below measured range (<75.8%)
  1. #1MiniMax-M391.6%
  2. #2Kimi K391.1%
  3. #7Muse Glimmer75.8%
  4. ~#8Ministral 3 8BEstimated<75.8%
No published score — estimated from related benchmarks
ChartographyEstimated
~last of 23 (estimated)below measured range (<9.0%)
  1. #1GPT-6 Astra71.0%
  2. #2Claude Opus 5.566.3%
  3. #22Mistral Large 39.0%
  4. ~#23Ministral 3 8BEstimated<9.0%
No published score — estimated from related benchmarks

Hard reasoning

Agents