Claude 3.7 Sonnet vs GLM-5-Turbo
Wins 1 of 6 areas
Facts
Wins 5 of 6 areas
Coding · Agents · Reasoning · Long documents · Following instructions
GLM-5-Turbo is the stronger all-rounder.Claude 3.7 Sonnet is better at facts.
Scores updated · 15 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 thinking02GLM-5-Turbo2 of 3 tests · 1 tie
- CodingWriting and fixing software02GLM-5-Turbo2 of 2 tests
- AgentsCarrying out multi-step tasks on its own01GLM-5-Turbo1 of 1 test
- Long documentsFinding answers in very long texts01GLM-5-Turbo1 of 1 test
- Following instructionsDoing exactly what it is asked01GLM-5-Turbo1 of 1 test
- FactsGetting facts right instead of making them up10Claude 3.7 Sonnet1 of 2 tests · 1 tie
Agents, 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-Turbo costs 71% 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 GLM-5-Turbo pulls ahead
Where Claude 3.7 Sonnet pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+22.6points ahead
Every test, side by side
All 15 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingGLM-5-Turbo
- Terminal-Bench HardGLM-5-Turbo by 12.121.233.3+12.1
- SciCodeGLM-5-Turbo by 3.340.343.6+3.3
ReasoningGLM-5-Turbo
- Humanity's Last ExamGLM-5-Turbo by 18.19.727.8+18.1
- GPQA DiamondGLM-5-Turbo by 7.577.284.7+7.5
- CritPttie0.90.3tie
FactsClaude 3.7 Sonnet
- AA-Omniscience · Non-hallucinationClaude 3.7 Sonnet by 22.66037.4+22.6
- AA-Omniscience · Accuracytie2828.4tie
Following instructionsGLM-5-Turbo
- IFBenchGLM-5-Turbo by 24.948.373.2+24.9
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.
- τ²-Bench Telecom (AA run)GLM-5-Turbo by 43.854.798.5+43.8
- AA Agentic IndexGLM-5-Turbo by 29.13766.1+29.1
- AA-OmniscienceClaude 3.7 Sonnet by 15.7-0.7-16.4+15.7
- AA IntelligenceGLM-5-Turbo by 8.917.726.6+8.9
- Artificial Analysis Coding Indextie36.436.8tie
Questions people ask
Which is better, Claude 3.7 Sonnet or GLM-5-Turbo?
GLM-5-Turbo wins five of the six areas where both have results: coding, agents, reasoning, long documents and following instructions. Claude 3.7 Sonnet wins facts.
Which is better for coding?
GLM-5-Turbo. It wins 2 of the 2 coding tests both models report; Claude 3.7 Sonnet wins none.
Which is cheaper?
Claude 3.7 Sonnet costs $3.00 per million input tokens and $15.00 per million output tokens; GLM-5-Turbo costs $1.20 and $4.00. That makes GLM-5-Turbo about 71% cheaper for the same work.
How do you compare the two?
We use the 15 benchmark tests both models have published scores on. The verdict counts the 10 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.