Muse Spark 1.1 vs Qwen3.5 35B A3B
Wins 7 of 7 areas
Coding · Agents · Reasoning · Facts · Images and charts · Long documents · Following instructions
Wins 0 of 7 areas
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Muse Spark 1.1 is the stronger all-rounder.Qwen3.5 35B A3B is cheaper.
Scores updated · 21 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 software40Muse Spark 1.14 of 4 tests
- AgentsCarrying out multi-step tasks on its own40Muse Spark 1.14 of 4 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 video10Muse Spark 1.11 of 1 test
- Long documentsFinding answers in very long texts10Muse Spark 1.11 of 1 test
- Following instructionsDoing exactly what it is asked10Muse Spark 1.11 of 1 test
Images and charts, 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 35B A3B costs 59% 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
- Command-line tasks in a real terminalTerminal-Bench 2.1+37.1points ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+35.4points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+32points ahead
Where Qwen3.5 35B A3B pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 21 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingMuse Spark 1.1
- Terminal-Bench 2.1Muse Spark 1.1 by 37.177.940.8+37.1
- LMArena · WebDevMuse Spark 1.1 by 292 rating points15421250+292 rating
- SciCodeMuse Spark 1.1 by 21.158.837.7+21.1
- SWE-bench ProMuse Spark 1.1 by 16.961.544.6+16.9
AgentsMuse Spark 1.1
- GDPValMuse Spark 1.1 by 30.135.75.6+30.1
- τ-Bench V3 · BankingMuse Spark 1.1 by 26.931.84.9+26.9
- OSWorld-VerifiedMuse Spark 1.1 by 26.380.854.5+26.3
- MCP AtlasMuse Spark 1.1 by 25.788.162.4+25.7
ReasoningMuse Spark 1.1
- Humanity's Last ExamMuse Spark 1.1 by 25.246.221+25.2
- CritPtMuse Spark 1.1 by 14.215.10.9+14.2
- GPQA DiamondMuse Spark 1.1 by 5.389.884.5+5.3
FactsMuse Spark 1.1
- AA-Omniscience · Non-hallucinationMuse Spark 1.1 by 35.45014.6+35.4
- AA-Omniscience · AccuracyMuse Spark 1.1 by 325220.1+32
Images and chartsMuse Spark 1.1
- CharXiv (RQ)Muse Spark 1.1 by 10.988.477.5+10.9
Following instructionsMuse Spark 1.1
- Multi-ChallengeMuse Spark 1.1 by 15.375.360+15.3
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 76.228.1-48.1+76.2
- BabyVisionMuse Spark 1.1 by 37.976.338.4+37.9
- Artificial Analysis Coding IndexMuse Spark 1.1 by 34.371.337+34.3
- AA Agentic IndexMuse Spark 1.1 by 15.727.511.8+15.7
- AA IntelligenceMuse Spark 1.1 by 14.433.719.3+14.4
Questions people ask
Which is better, Muse Spark 1.1 or Qwen3.5 35B A3B?
Muse Spark 1.1 wins all seven areas where both have results: coding, agents, reasoning, facts, images and charts, long documents and following instructions. Qwen3.5 35B A3B wins none, but costs 59% less.
Which is better for coding?
Muse Spark 1.1. It wins 4 of the 4 coding tests both models report; Qwen3.5 35B A3B 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 35B A3B costs $0.25 and $2.00. That makes Qwen3.5 35B A3B about 59% cheaper for the same work.
How do you compare the two?
We use the 21 benchmark tests both models have published scores on. The verdict counts the 16 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.