GLM-5.1 vs GPT-5.1
Wins 4 of 6 areas
Coding · Agents · Reasoning · Following instructions
Wins 2 of 6 areas
Facts · Long documents
GLM-5.1 is the stronger all-rounder.GPT-5.1 is better at facts.
Scores updated · 28 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.
- ReasoningHard problems that need careful thinking20GLM-5.12 of 4 tests · 2 ties
- CodingWriting and fixing software32GLM-5.13 of 6 tests · 1 tie
- AgentsCarrying out multi-step tasks on its own21GLM-5.12 of 3 tests
- Following instructionsDoing exactly what it is asked10GLM-5.11 of 1 test
- FactsGetting facts right instead of making them up12GPT-5.12 of 3 tests
- Long documentsFinding answers in very long texts01GPT-5.11 of 1 test
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.
GLM-5.1 costs 49% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where GLM-5.1 pulls ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+28.5points ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+22points ahead
- Real work tasks from 44 professionsGDPVal+14.5points ahead
Where GPT-5.1 pulls ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+14points ahead
- Short factual questions, answered correctlySimpleQA Verified+14points ahead
- Reasons across sets of long documentsAA-LCR+6.3points ahead
Every test, side by side
All 28 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGLM-5.1
- LMArena · WebDevGLM-5.1 by 113 rating points15081395+113 rating
- Terminal-Bench 2.1GLM-5.1 by 9.461.852.4+9.4
- Terminal-Bench HardGPT-5.1 by 2.343.245.5+2.3
- SciCodeGLM-5.1 by 1.544.843.3+1.5
- LiveCodeBench v6GPT-5.1 by 1.385.787+1.3
- SWE-bench Verifiedtie76.276.3tie
AgentsGLM-5.1
- BrowseCompGLM-5.1 by 28.579.350.8+28.5
- GDPValGLM-5.1 by 14.53116.5+14.5
- τ-Bench V3 · BankingGPT-5.1 by 2.313.615.9+2.3
ReasoningGLM-5.1
- SimpleBenchGLM-5.1 by 1.955.153.2+1.9
- Humanity's Last ExamGLM-5.1 by 1.630.128.5+1.6
- GPQA Diamondtie86.887.3tie
- CritPttie4.64.9tie
FactsGPT-5.1
- AA-Omniscience · Non-hallucinationGLM-5.1 by 2270.148.1+22
- AA-Omniscience · AccuracyGPT-5.1 by 1423.737.7+14
- SimpleQA VerifiedGPT-5.1 by 143448+14
Other results10 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.
- Terminal-Bench 2.0GLM-5.1 by 21.46947.6+21.4
- τ²-Bench Telecom (AA run)GLM-5.1 by 15.897.781.9+15.8
- HLE (with tools)GLM-5.1 by 9.652.342.7+9.6
- Artificial Analysis Coding IndexGLM-5.1 by 6.455.849.4+6.4
- AA-OmniscienceGPT-5.1 by 4.50.85.4+4.5
- AA Agentic IndexGLM-5.1 by 3.625.221.6+3.6
- HMMT Nov. 2025GLM-5.1 by 2.39491.7+2.3
- AA IntelligenceGLM-5.1 by 1.426.124.7+1.4
- MMLU-ProGPT-5.1 by 18687+1
- frontiermath_tier_4_v1tie12.512.5tie
Questions people ask
Which is better, GLM-5.1 or GPT-5.1?
GLM-5.1 wins four of the six areas where both have results: coding, agents, reasoning and following instructions. GPT-5.1 wins facts and long documents.
Which is better for coding?
GLM-5.1. It wins 3 of the 6 coding tests both models report; GPT-5.1 wins 2, and 1 is a tie.
Which is cheaper?
GLM-5.1 costs $1.38 per million input tokens and $4.40 per million output tokens; GPT-5.1 costs $1.25 and $10.00. That makes GLM-5.1 about 49% cheaper for the same work.
How do you compare the two?
We use the 28 benchmark tests both models have published scores on. The verdict counts the 18 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 10 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.