Muse Spark 1.1 vs Qwen3.5 27B
Wins 6 of 7 areas
Coding · Agents · Reasoning · Facts · Images and charts · Following instructions
Wins 0 of 7 areas
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Muse Spark 1.1 is the stronger all-rounder.Qwen3.5 27B is cheaper.
Scores updated · 20 tests both models report · How we compare
Where each one wins
Tests won in each of the seven 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.
- CodingWriting and fixing software30Muse Spark 1.13 of 3 tests
- AgentsCarrying out multi-step tasks on its own30Muse Spark 1.13 of 3 tests
- ReasoningHard problems that need careful thinking30Muse Spark 1.13 of 3 tests
- FactsGetting facts right instead of making them up20Muse Spark 1.12 of 2 tests
- Images and chartsUnderstanding pictures, charts and video20Muse Spark 1.12 of 2 tests
- Following instructionsDoing exactly what it is asked10Muse Spark 1.11 of 1 test
- Long documentsFinding answers in very long texts00Even0 each · 1 tie
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.
Qwen3.5 27B costs 51% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Muse Spark 1.1 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+31.5points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+31.4points ahead
- Completes tasks by operating a computer desktopOSWorld-Verified+24.6points ahead
Where Qwen3.5 27B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 20 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingMuse Spark 1.1
- SciCodeMuse Spark 1.1 by 19.358.839.5+19.3
- LMArena · WebDevMuse Spark 1.1 by 185 rating points15421357+185 rating
- SWE-bench ProMuse Spark 1.1 by 10.361.551.2+10.3
AgentsMuse Spark 1.1
- OSWorld-VerifiedMuse Spark 1.1 by 24.680.856.2+24.6
- MCP AtlasMuse Spark 1.1 by 19.788.168.4+19.7
- GDPValMuse Spark 1.1 by 2.735.733+2.7
ReasoningMuse Spark 1.1
- Humanity's Last ExamMuse Spark 1.1 by 22.346.223.9+22.3
- CritPtMuse Spark 1.1 by 14.215.10.9+14.2
- GPQA DiamondMuse Spark 1.1 by 489.885.8+4
FactsMuse Spark 1.1
- AA-Omniscience · Non-hallucinationMuse Spark 1.1 by 31.55018.5+31.5
- AA-Omniscience · AccuracyMuse Spark 1.1 by 31.45220.7+31.4
Images and chartsMuse Spark 1.1
- CharXiv (RQ)Muse Spark 1.1 by 8.988.479.5+8.9
- LMArena · VisionMuse Spark 1.1 by 54 rating points12941240+54 rating
Following instructionsMuse Spark 1.1
- Multi-ChallengeMuse Spark 1.1 by 14.575.360.8+14.5
Other results5 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-OmniscienceMuse Spark 1.1 by 72.128.1-44+72.1
- Artificial Analysis Coding IndexMuse Spark 1.1 by 36.471.334.9+36.4
- BabyVisionMuse Spark 1.1 by 31.776.344.6+31.7
- AA Agentic IndexQwen3.5 27B by 27.127.554.6+27.1
- AA IntelligenceMuse Spark 1.1 by 10.833.722.9+10.8
Questions people ask
Which is better, Muse Spark 1.1 or Qwen3.5 27B?
Muse Spark 1.1 wins six of the seven areas where both have results: coding, agents, reasoning, facts, images and charts and following instructions. Qwen3.5 27B wins none, but costs 51% less. They are level on long documents.
Which is better for coding?
Muse Spark 1.1. It wins 3 of the 3 coding tests both models report; Qwen3.5 27B wins none.
Which is cheaper?
Muse Spark 1.1 costs $1.25 per million input tokens and $4.25 per million output tokens; Qwen3.5 27B costs $0.30 and $2.40. That makes Qwen3.5 27B about 51% cheaper for the same work.
How do you compare the two?
We use the 20 benchmark tests both models have published scores on. The verdict counts the 15 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 5 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.