Compare / Qwen3.5 9B vs MiniCPM-SALA

Qwen3.5 9B vs MiniCPM-SALA

Updated November 2026

Verdict

Qwen3.5 9B scores higher on the Small LM Index: 63.9 vs 52.6. On the 2 benchmarks both labs report, Qwen3.5 9B wins 2 and MiniCPM-SALA wins 0. Both need about 6.7 GB of memory at 4-bit quantization. Only Qwen3.5 9B has a hosted API on OpenRouter ($0.028 per million tokens); the other has to be self-hosted.

Pick Qwen3.5 9B if…

  • you want the strongest model overall
  • you mostly write code
  • you want a hosted API rather than running it yourself
  • you need image input
  • you want the more widely used model (more quantized builds and community support)

Pick MiniCPM-SALA if…

  • you work with long documents

Specifications

Qwen3.5 9BMiniCPM-SALA
Small LM Index63.9 (likely 58–69)52.6 (likely 48–57)
LabAlibaba (Qwen) · ChinaOpenBMB (MiniCPM) · China
Released2026-03-022026-02-11
Parameters9B (dense)9.5B (dense)
Memory at 4-bit~6.4 GB~6.7 GB
Context window262K tokens1M tokens
Inputtext, image, videotext
ReasoningHybrid (thinking on/off)Hybrid (thinking on/off)
LicenseApache-2.0Apache-2.0
API price / 1M tokens$0.028 ($0.025 in, $0.036 out)Self-host only
Hugging Face downloads (30 days)6.4M3.7K

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.

BenchmarkQwen3.5 9BMiniCPM-SALA
MMLU-Pro Knowledge82.567.0
GPQA Diamond Knowledge81.7≈ 66
AIME Math≈ 8878.3
LiveCodeBench Coding65.652.0
τ²-Bench Agentic79.1—
IFBench Instruction following64.5—
MMMU-Pro Vision69.2✓—
IFEval Instruction following—76.3

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, Qwen3.5 9B or MiniCPM-SALA?

Qwen3.5 9B scores higher on the Small LM Index: 63.9 vs 52.6. On the 2 benchmarks both labs report, Qwen3.5 9B wins 2 and MiniCPM-SALA wins 0.

Which is cheaper to run?

Only Qwen3.5 9B has a hosted API on OpenRouter ($0.028 per million tokens); the other has to be self-hosted. Both need about 6.7 GB of memory at 4-bit quantization.

Which has the longer context window?

MiniCPM-SALA has the longer context window: 1M tokens against 262K.

Can I use Qwen3.5 9B and MiniCPM-SALA 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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