Claude 3.7 Sonnet vs GLM-4.6V
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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Claude 3.7 Sonnet is the stronger all-rounder.GLM-4.6V is cheaper.
Scores updated · 17 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 software20Claude 3.7 Sonnet2 of 2 tests
- FactsGetting facts right instead of making them up20Claude 3.7 Sonnet2 of 2 tests
- ReasoningHard problems that need careful thinking10Claude 3.7 Sonnet1 of 3 tests · 2 ties
- Images and chartsUnderstanding pictures, charts and video10Claude 3.7 Sonnet1 of 2 tests · 1 tie
- AgentsCarrying out multi-step tasks on its own10Claude 3.7 Sonnet1 of 1 test
- Long documentsFinding answers in very long texts10Claude 3.7 Sonnet1 of 1 test
- Following instructionsDoing exactly what it is asked10Claude 3.7 Sonnet1 of 1 test
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-4.6V costs 93% 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 Claude 3.7 Sonnet pulls ahead
- Real work tasks from 44 professionsGDPVal+21.9points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+18.2points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+11.8points ahead
Where GLM-4.6V pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 17 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingClaude 3.7 Sonnet
- SciCodeClaude 3.7 Sonnet by 9.940.330.4+9.9
- Terminal-Bench HardClaude 3.7 Sonnet by 6.821.214.4+6.8
ReasoningClaude 3.7 Sonnet
- GPQA DiamondClaude 3.7 Sonnet by 5.377.271.9+5.3
- CritPttie0.90tie
- Humanity's Last Examtie9.79.6tie
FactsClaude 3.7 Sonnet
- AA-Omniscience · AccuracyClaude 3.7 Sonnet by 11.82816.2+11.8
- AA-Omniscience · Non-hallucinationClaude 3.7 Sonnet by 11.56048.5+11.5
Images and chartsClaude 3.7 Sonnet
- MMMU-ProClaude 3.7 Sonnet by 11.560.148.6+11.5
- LMArena · Visiontie11691163tie
Following instructionsClaude 3.7 Sonnet
- IFBenchClaude 3.7 Sonnet by 18.248.330.1+18.2
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-OmniscienceClaude 3.7 Sonnet by 26.2-0.7-26.9+26.2
- τ²-Bench Telecom (AA run)Claude 3.7 Sonnet by 23.154.731.6+23.1
- AA Agentic IndexClaude 3.7 Sonnet by 19.53717.5+19.5
- Artificial Analysis Coding IndexClaude 3.7 Sonnet by 16.736.419.7+16.7
- AA IntelligenceClaude 3.7 Sonnet by 6.517.711.2+6.5
Questions people ask
Which is better, Claude 3.7 Sonnet or GLM-4.6V?
Claude 3.7 Sonnet wins all seven areas where both have results: coding, agents, reasoning, facts, images and charts, long documents and following instructions. GLM-4.6V wins none, but costs 93% less.
Which is better for coding?
Claude 3.7 Sonnet. It wins 2 of the 2 coding tests both models report; GLM-4.6V wins none.
Which is cheaper?
Claude 3.7 Sonnet costs $3.00 per million input tokens and $15.00 per million output tokens; GLM-4.6V costs $0.30 and $0.90. That makes GLM-4.6V about 93% cheaper for the same work.
How do you compare the two?
We use the 17 benchmark tests both models have published scores on. The verdict counts the 12 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.