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VECTOR WIREAI INTELLIGENCE
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MiniCPM5-2B vs Qwen3.5 4B

OpenBMB · released

Wins 2 of 6 areas

Coding · Following instructions

Alibaba · released

Wins 2 of 6 areas

Reasoning · Long documents

The two are evenly matched.MiniCPM5-2B is better at coding and following instructions; Qwen3.5 4B at reasoning and long documents.

Scores updated · 30 tests both models report · How we compare

Where each one wins

Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

Long documents and following instructions rest on a single test each.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

MiniCPM5-2BNo current price is tracked.
Qwen3.5 4B$0.03 to read · $0.15 to write$0.18Price from Artificial Analysis

The biggest differences

The three tests each model wins by the widest margin. Scores are out of 100.

Where Qwen3.5 4B pulls ahead

  • Command-line tasks in a real terminalTerminal-Bench 2.1+17.2points aheadQwen3.5 4B25.8MiniCPM5-2B8.6
  • Multi-step tasks using many real software toolsMCP Atlas+15points aheadQwen3.5 4B41.4MiniCPM5-2B26.4
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+6.9points aheadQwen3.5 4B77.1MiniCPM5-2B70.2

Where MiniCPM5-2B pulls ahead

Every test, side by side

All 30 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingMiniCPM5-2B

Full coding ranking

AgentsEven

Full agents ranking

ReasoningQwen3.5 4B

Full reasoning ranking

FactsEven

Full facts ranking

Long documentsQwen3.5 4B
  • AA-LCRQwen3.5 4B by 3.759.363+3.7

Full long documents ranking

Following instructionsMiniCPM5-2B
  • IFBenchMiniCPM5-2B by 10.162.152+10.1

Full following instructions ranking

Other results18 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

  • AA-OmniscienceMiniCPM5-2B by 46.7-11.7-58.4+46.7
  • RULER 128KQwen3.5 4B by 46.63884.6+46.6
  • AA Agentic IndexQwen3.5 4B by 23.5932.5+23.5
  • WebArena-VerifiedQwen3.5 4B by 12.89.121.9+12.8
  • EnterpriseOps-GymQwen3.5 4B by 12.613.426+12.6
  • BFCLv4MiniCPM5-2B by 12.162.650.6+12.1
  • Claw-Eval General (EN), pass^3Qwen3.5 4B by 8.434.643+8.4
  • Artificial Analysis Coding IndexQwen3.5 4B by 8.114.522.6+8.1
  • BrowseComp-Plus (OpenClaw subset)Qwen3.5 4B by 7.916.824.7+7.9
  • Terminal-Bench 2.1 (OpenCode)Qwen3.5 4B by 7.95.613.5+7.9
  • SWE-bench Multilingual (OpenCode)Qwen3.5 4B by 7.615.723.3+7.6
  • LiveCodeBench Pro 25Q2MiniCPM5-2B by 529.324.3+5
  • AutomationBench PublicQwen3.5 4B by 44.78.7+4
  • τ³-bench (4 domains), averageMiniCPM5-2B by 3.469.466+3.4
  • IFEvalQwen3.5 4B by 287.889.8+2
  • Claw-Eval General (EN), averageQwen3.5 4B by 1.360.762+1.3
  • AA Intelligencetie12.513.1tie
  • HLE (with tools)tie11.511.6tie

Questions people ask

Which is better, MiniCPM5-2B or Qwen3.5 4B?

MiniCPM5-2B and Qwen3.5 4B each win two of the six areas where both have results. MiniCPM5-2B wins coding and following instructions; Qwen3.5 4B wins reasoning and long documents. They are level on agents and facts.

Which is better for coding?

MiniCPM5-2B. It wins 2 of the 3 coding tests both models report; Qwen3.5 4B wins 1.

How do you compare the two?

We use the 30 benchmark tests both models have published scores on. The verdict counts the 12 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 18 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.