GLM-5.2 vs Muse Spark 1.1
Wins 1 of 7 areas
Math
Wins 3 of 7 areas
Reasoning · Facts · Following instructions
Muse Spark 1.1 wins more areas, narrowly.GLM-5.2 is better at math.
Scores updated · 32 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.
- ReasoningHard problems that need careful thinking12Muse Spark 1.12 of 4 tests · 1 tie
- FactsGetting facts right instead of making them up12Muse Spark 1.12 of 3 tests
- Following instructionsDoing exactly what it is asked01Muse Spark 1.11 of 1 test
- MathCompetition and research-level math10GLM-5.21 of 1 test
- CodingWriting and fixing software22Even2 each · 2 ties
- AgentsCarrying out multi-step tasks on its own22Even2 each
- Long documentsFinding answers in very long texts00Even0 each · 1 tie
Math, 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.
Muse Spark 1.1 costs 5% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where Muse Spark 1.1 pulls ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+27.8points ahead
- Short factual questions, answered correctlySimpleQA Verified+23.6points ahead
- Multi-step tasks using many real software toolsMCP Atlas+11.3points ahead
Where GLM-5.2 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+23.7points ahead
- Real work tasks from 44 professionsGDPVal+8points ahead
- Research-level physics problemsCritPt+5.8points 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.
CodingEven
- SciCodeMuse Spark 1.1 by 7.651.258.8+7.6
- LiveBench · Agentic CodingMuse Spark 1.1 by 6.751.858.5+6.7
- LMArena · WebDevGLM-5.2 by 61 rating points16031542+61 rating
- LiveBench · CodingGLM-5.2 by 2.579.777.2+2.5
- SWE-bench Protie62.161.5tie
- Terminal-Bench 2.1tie77.977.9tie
AgentsEven
- MCP AtlasMuse Spark 1.1 by 11.376.888.1+11.3
- GDPValGLM-5.2 by 843.735.7+8
- Terminal-Bench 4.0Muse Spark 1.1 by 5.116.1+5.1
- τ-Bench V3 · BankingGLM-5.2 by 2.834.631.8+2.8
ReasoningMuse Spark 1.1
- LiveBench · ReasoningMuse Spark 1.1 by 9.178.687.7+9.1
- CritPtGLM-5.2 by 5.820.915.1+5.8
- Humanity's Last ExamMuse Spark 1.1 by 5.141.146.2+5.1
- GPQA Diamondtie89.589.8tie
FactsMuse Spark 1.1
- AA-Omniscience · AccuracyMuse Spark 1.1 by 27.824.352+27.8
- AA-Omniscience · Non-hallucinationGLM-5.2 by 23.773.750+23.7
- SimpleQA VerifiedMuse Spark 1.1 by 23.634.257.8+23.6
Following instructionsMuse Spark 1.1
- LiveBench · Instruction FollowingMuse Spark 1.1 by 7.362.369.6+7.3
Other results12 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.
- ToolathlonMuse Spark 1.1 by 27.448.275.6+27.4
- AA-OmniscienceMuse Spark 1.1 by 23.74.428.1+23.7
- CyberGymGLM-5.2 by 18.277.259+18.2
- Toolathlon VerifiedMuse Spark 1.1 by 15.759.975.6+15.7
- GDPval-AA v2 EloGLM-5.2 by 129 rating points15101381+129 rating
- AA Agentic IndexGLM-5.2 by 11.939.427.5+11.9
- JobBenchMuse Spark 1.1 by 11.343.454.7+11.3
- DeepSWE 1.1Muse Spark 1.1 by 94453+9
- Artificial Analysis Coding IndexMuse Spark 1.1 by 2.568.871.3+2.5
- livebench_languageGLM-5.2 by 1.976.274.3+1.9
- livebench_data_analysisGLM-5.2 by 1.173.772.5+1.1
- AA Intelligencetie33.733.7tie
Questions people ask
Which is better, GLM-5.2 or Muse Spark 1.1?
Muse Spark 1.1 wins three of the seven areas where both have results: reasoning, facts and following instructions. GLM-5.2 wins math. They are level on coding, agents and long documents.
Which is better for coding?
Neither. They win 2 coding tests each of the 6 both models report, and 2 are ties.
Which is cheaper?
GLM-5.2 costs $1.40 per million input tokens and $4.40 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. That makes Muse Spark 1.1 about 5% cheaper for the same work.
How do you compare the two?
We use the 32 benchmark tests both models have published scores on. The verdict counts the 20 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 12 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.