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Model Pareto

Ministral 3 3B

Mistral AIOpen weightsartificialanalysis.ai ↗
Input
$0.10/M tok
Output
$0.10/M tok
Blended
$0.10/M tok · 3:1
Speed
231tok/s
Context
256Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Ministral 3 3B. 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
~16,098 tok/s
many requests batched
Price
$0.046–0.41 /M tok
busy → light use
On your own machine
RTX 5090 32GB (int4, 300+ tok/s single-stream)
single consumer GPU or Mac
Assumptions (5)
  • BF16 weights (3.85B params) + 25% KV-cache headroom ≈ 10 GB
  • 1× B200 180GB at $5.98–$14.24/GPU-hour on-demand (2026-09-24)
  • ~16,098 output tok/s aggregate at batch 256 (bandwidth-bound)
  • Blended 3:1 input:output; prefill ~138,068 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

MMMLUEstimated
~last of 5 (estimated)below measured range (<81.3%)
  1. #1Gemini 3.1 Pro92.6%
  2. #2Gemma 4 31B88.4%
  3. #4gpt-oss-120b81.3%
  4. ~#5Ministral 3 3BEstimated<81.3%
No published score — estimated from related benchmarks
~#49 of 54 (estimated)~1321 Elo
  1. #1Claude Opus 5.51509
  2. #2Claude Fable 5.11501
  3. #48Molmo2-8BFew votes1322
  4. ~#49Ministral 3 3BEstimated1321
  5. #49Ring-flash-2.01321
No published score — estimated from related benchmarks
~#24 of 26 (estimated)~1244 Elo
  1. #1GPT-6 Astra2173
  2. #2Claude Fable 5.12162
  3. #23Gemma 4 31B1368
  4. ~#24Ministral 3 3BEstimated1244
  5. #24gpt-oss-120b961
No published score — estimated from related benchmarks

Vision

MMMUEstimated
~#2 of 3 (estimated)~71.3%
  1. #1Claude Haiku 4.573.2%
  2. ~#2Ministral 3 3BEstimated71.3%
  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 3BEstimated<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 3BEstimated<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 3BEstimated<9.0%
No published score — estimated from related benchmarks

Hard reasoning

Agents