Claude Opus 4.8 vs GLM-5.2
Wins 5 of 7 areas
Coding · Agents · Reasoning · Facts · Math
Wins 0 of 7 areas
—
Claude Opus 4.8 is the stronger all-rounder.GLM-5.2 is cheaper.
Scores updated · 66 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 thinking50Claude Opus 4.85 of 6 tests · 1 tie
- AgentsCarrying out multi-step tasks on its own40Claude Opus 4.84 of 5 tests · 1 tie
- CodingWriting and fixing software52Claude Opus 4.85 of 7 tests
- MathCompetition and research-level math41Claude Opus 4.84 of 6 tests · 1 tie
- FactsGetting facts right instead of making them up21Claude Opus 4.82 of 3 tests
- Long documentsFinding answers in very long texts00Even0 each · 1 tie
- Following instructionsDoing exactly what it is asked11Even1 each
Long documents rests on a single test.
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.
GLM-5.2 costs 81% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where Claude Opus 4.8 pulls ahead
- Abstract visual puzzles that people can solveARC-AGI-2+49.3points ahead
- Extremely hard research-level math problemsFrontierMath Tier 4+26.8points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+24.5points ahead
Where GLM-5.2 pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+13points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+11.1points ahead
- Olympiad math problems with short answersIMOAnswerBench+7.5points ahead
Every test, side by side
All 66 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude Opus 4.8
- Terminal-Bench HardClaude Opus 4.8 by 7.558.350.8+7.5
- SWE-bench ProClaude Opus 4.8 by 7.169.262.1+7.1
- Terminal-Bench 2.1Claude Opus 4.8 by 6.784.677.9+6.7
- LMArena · WebDevGLM-5.2 by 47 rating points15561603+47 rating
- SciCodeClaude Opus 4.8 by 3.254.451.2+3.2
- LiveBench · CodingClaude Opus 4.8 by 2.181.879.7+2.1
- LiveBench · Agentic CodingGLM-5.2 by 1.350.551.8+1.3
AgentsClaude Opus 4.8
- Terminal-Bench 4.0Claude Opus 4.8 by 20.721.71+20.7
- AA ApexAgentsClaude Opus 4.8 by 5.739.433.7+5.7
- MCP AtlasClaude Opus 4.8 by 5.482.276.8+5.4
- GDPValClaude Opus 4.8 by 4.147.843.7+4.1
- τ-Bench V3 · Bankingtie34.234.6tie
ReasoningClaude Opus 4.8
- ARC-AGI-2Claude Opus 4.8 by 49.372.122.8+49.3
- LiveBench · ReasoningClaude Opus 4.8 by 10.689.278.6+10.6
- Humanity's Last ExamClaude Opus 4.8 by 7.648.741.1+7.6
- SimpleBenchClaude Opus 4.8 by 664.858.8+6
- GPQA DiamondClaude Opus 4.8 by 2.59289.5+2.5
- CritPttie20.920.9tie
FactsClaude Opus 4.8
- AA-Omniscience · AccuracyClaude Opus 4.8 by 24.548.824.3+24.5
- SimpleQA VerifiedClaude Opus 4.8 by 18.85334.2+18.8
- AA-Omniscience · Non-hallucinationGLM-5.2 by 1360.773.7+13
MathClaude Opus 4.8
- FrontierMath Tier 4Claude Opus 4.8 by 26.856.129.3+26.8
- FrontierMath Tiers 1-3 (v2)Claude Opus 4.8 by 20.88059.2+20.8
- IMOAnswerBenchGLM-5.2 by 7.583.591+7.5
- LiveBench · MathematicsClaude Opus 4.8 by 4.594.389.8+4.5
- HMMT Feb. 2026Claude Opus 4.8 by 395.592.5+3
- AIME 2026tie10099.2tie
Following instructionsEven
- IFBenchGLM-5.2 by 11.162.273.3+11.1
- LiveBench · Instruction FollowingClaude Opus 4.8 by 9.77262.3+9.7
Other results36 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.
- OfficeQA ProClaude Opus 4.8 by 24.866.241.4+24.8
- AA-OmniscienceClaude Opus 4.8 by 24.428.84.4+24.4
- NL2RepoClaude Opus 4.8 by 20.869.748.9+20.8
- Toolathlon VerifiedClaude Opus 4.8 by 2079.959.9+20
- DSBench-HardClaude Opus 4.8 by 17.271.754.5+17.2
- Terminal-bench 3.0Claude Opus 4.8 by 16.521.14.6+16.5
- ARC-AGI-1Claude Opus 4.8 by 15.592.577+15.5
- DeepSWE 1.1Claude Opus 4.8 by 155944+15
- AutomationBench PublicClaude Opus 4.8 by 14.327.212.9+14.3
- SWE-MarathonClaude Opus 4.8 by 132613+13
- DeepSWEClaude Opus 4.8 by 11.85846.2+11.8
- Tool-DecathlonClaude Opus 4.8 by 11.759.948.2+11.7
- ToolathlonClaude Opus 4.8 by 11.759.948.2+11.7
- DSBench-FullStackClaude Opus 4.8 by 9.871.661.8+9.8
- GDPval-AA v2Claude Opus 4.8 by 85 rating points15931508+85 rating
- HiL-Bench (Tools-allowed)GLM-5.2 by 8.435.343.7+8.4
- GDPval-AA v2 EloClaude Opus 4.8 by 83 rating points15931510+83 rating
- Program BenchClaude Opus 4.8 by 8.271.963.7+8.2
- AA IntelligenceClaude Opus 4.8 by 8.141.833.7+8.1
- livebench_data_analysisGLM-5.2 by 7.76673.7+7.7
- ProgramBench (Almost Solved)Claude Opus 4.8 by 615.59.5+6
- Artificial Analysis Coding IndexClaude Opus 4.8 by 5.574.368.8+5.5
- JobBenchClaude Opus 4.8 by 548.443.4+5
- τ²-Bench Telecom (AA run)GLM-5.2 by 4.794.499.1+4.7
- livebench_languageClaude Opus 4.8 by 3.579.776.2+3.5
- SpreadsheetBench 2Claude Opus 4.8 by 3.531.628.1+3.5
- AA Agentic IndexClaude Opus 4.8 by 3.242.639.4+3.2
- HLE (with tools)Claude Opus 4.8 by 3.257.954.7+3.2
- HLE (wo / w tools)Claude Opus 4.8 by 3.257.954.7+3.2
- PostTrainBenchClaude Opus 4.8 by 2.937.234.3+2.9
- MLS Bench Litelower is betterGLM-5.2 by 2.442.840.4+2.4
- ResearchRubricsClaude Opus 4.8 by 2.473.571.1+2.4
- HMMT Nov. 2025Claude Opus 4.8 by 2.196.594.4+2.1
- Agents' Last ExamClaude Opus 4.8 by 1.925.723.8+1.9
- Agents' Last Exam (ALE-CLI)Claude Opus 4.8 by 1.925.723.8+1.9
- CyberGymClaude Opus 4.8 by 1.678.877.2+1.6
Questions people ask
Which is better, Claude Opus 4.8 or GLM-5.2?
Claude Opus 4.8 wins five of the seven areas where both have results: coding, agents, reasoning, facts and math. GLM-5.2 wins none, but costs 81% less. They are level on long documents and following instructions.
Which is better for coding?
Claude Opus 4.8. It wins 5 of the 7 coding tests both models report; GLM-5.2 wins 2.
Which is cheaper?
Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; GLM-5.2 costs $1.40 and $4.40. That makes GLM-5.2 about 81% cheaper for the same work.
How do you compare the two?
We use the 66 benchmark tests both models have published scores on. The verdict counts the 30 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 36 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.