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VECTOR WIREAI INTELLIGENCE
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MiniCPM5-2B vs Qwen3.5 9B

OpenBMB · released

Wins 1 of 6 areas

Agents

Alibaba · released

Wins 4 of 6 areas

Coding · Reasoning · Long documents · Following instructions

Qwen3.5 9B is the stronger all-rounder.MiniCPM5-2B is better at agents.

Scores updated · 32 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 9B$0.14 to read · $0.20 to write$0.34Price from Artificial Analysis

The biggest differences

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

Where Qwen3.5 9B pulls ahead

  • Command-line tasks in a real terminalTerminal-Bench 2.1+20.6points aheadQwen3.5 9B29.2MiniCPM5-2B8.6
  • Multi-step tasks using many real software toolsMCP Atlas+16.3points aheadQwen3.5 9B42.7MiniCPM5-2B26.4
  • Reasons across sets of long documentsAA-LCR+10.7points aheadQwen3.5 9B70MiniCPM5-2B59.3

Where MiniCPM5-2B pulls ahead

Every test, side by side

All 32 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingQwen3.5 9B

Full coding ranking

AgentsMiniCPM5-2B

Full agents ranking

ReasoningQwen3.5 9B

Full reasoning ranking

FactsEven

Full facts ranking

Long documentsQwen3.5 9B
  • AA-LCRQwen3.5 9B by 10.759.370+10.7

Full long documents ranking

Following instructionsQwen3.5 9B
  • IFBenchQwen3.5 9B by 4.662.166.7+4.6

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.

  • RULER 128KQwen3.5 9B by 49.13887.1+49.1
  • AA-OmniscienceMiniCPM5-2B by 41.9-11.7-53.5+41.9
  • BrowseComp-Plus (OpenClaw subset)Qwen3.5 9B by 21.216.838+21.2
  • WebArena-VerifiedQwen3.5 9B by 19.89.128.9+19.8
  • SWE-bench Multilingual (OpenCode)Qwen3.5 9B by 19.315.735+19.3
  • Claw-Eval General (EN), pass^3Qwen3.5 9B by 17.334.651.9+17.3
  • EnterpriseOps-GymQwen3.5 9B by 15.613.429+15.6
  • Artificial Analysis Coding IndexQwen3.5 9B by 14.214.528.7+14.2
  • Terminal-Bench 2.1 (OpenCode)Qwen3.5 9B by 12.45.618+12.4
  • AutomationBench PublicQwen3.5 9B by 10.44.715.1+10.4
  • HLE (with tools)Qwen3.5 9B by 611.517.5+6
  • Claw-Eval General (EN), averageQwen3.5 9B by 5.860.766.5+5.8
  • LiveCodeBench Pro 25Q2Qwen3.5 9B by 5.129.334.4+5.1
  • IFEvalQwen3.5 9B by 3.787.891.5+3.7
  • BFCLv4MiniCPM5-2B by 2.662.660.1+2.6
  • τ³-bench (4 domains), averageMiniCPM5-2B by 2.369.467.1+2.3
  • AA Agentic IndexMiniCPM5-2B by 297+2
  • AA IntelligenceMiniCPM5-2B by 1.312.511.2+1.3

Questions people ask

Which is better, MiniCPM5-2B or Qwen3.5 9B?

Qwen3.5 9B wins four of the six areas where both have results: coding, reasoning, long documents and following instructions. MiniCPM5-2B wins agents. They are level on facts.

Which is better for coding?

Qwen3.5 9B. It wins 2 of the 3 coding tests both models report; MiniCPM5-2B wins 1.

How do you compare the two?

We use the 32 benchmark tests both models have published scores on. The verdict counts the 14 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.