Compare / Ministral 3 3B vs SmolLM3 3B

Ministral 3 3B vs SmolLM3 3B

Updated November 2026

Verdict

Ministral 3 3B scores higher on the Small LM Index: 49.4 vs 30.4. On the 3 benchmarks both labs report, Ministral 3 3B wins 3 and SmolLM3 3B wins 0. Both need about 3.3 GB of memory at 4-bit quantization. Only Ministral 3 3B has a hosted API on OpenRouter ($0.10 per million tokens); the other has to be self-hosted.

Pick Ministral 3 3B if…

  • you want the strongest model overall
  • you mostly write code
  • you need math and reasoning
  • you want a hosted API rather than running it yourself
  • you work with long documents
  • you need image input

Pick SmolLM3 3B if…

  • you want the more widely used model (more quantized builds and community support)

Specifications

Ministral 3 3BSmolLM3 3B
Small LM Index49.4 (likely 45–54)30.4 (likely 27–35)
LabMistral AI · EuropeHugging Face (SmolLM) · Europe
Released2025-12-022025-07-08
Parameters3B (dense)3.1B (dense)
Memory at 4-bit~3.3 GB~3 GB
Context window256K tokens64K tokens
Inputtext, imagetext
ReasoningHybrid (thinking on/off)Hybrid (thinking on/off)
LicenseApache-2.0Apache-2.0
API price / 1M tokens$0.10 ($0.10 in, $0.10 out)Self-host only
Hugging Face downloads (30 days)17.7K567.6K

Benchmarks

Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.

BenchmarkMinistral 3 3BSmolLM3 3B
GPQA Diamond Knowledge53.441.7
AIME Math72.136.7
LiveCodeBench Coding54.830.0
Multilingual MMLU Multilingual—64.1
IFEval Instruction following—71.2

Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.

Questions

Which is better, Ministral 3 3B or SmolLM3 3B?

Ministral 3 3B scores higher on the Small LM Index: 49.4 vs 30.4. On the 3 benchmarks both labs report, Ministral 3 3B wins 3 and SmolLM3 3B wins 0.

Which is cheaper to run?

Only Ministral 3 3B has a hosted API on OpenRouter ($0.10 per million tokens); the other has to be self-hosted. Both need about 3.3 GB of memory at 4-bit quantization.

Which has the longer context window?

Ministral 3 3B has the longer context window: 256K tokens against 64K.

Can I use Ministral 3 3B and SmolLM3 3B commercially?

Both are released under the Apache-2.0 license. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.

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