GLM-4.5-Air vs o4-mini
Wins 0 of 6 areas
—
Wins 6 of 6 areas
Coding · Agents · Reasoning · Facts · Long documents · Following instructions
o4-mini is the stronger all-rounder.GLM-4.5-Air is cheaper.
Scores updated · 30 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 thinking02o4-mini2 of 3 tests · 1 tie
- AgentsCarrying out multi-step tasks on its own02o4-mini2 of 2 tests
- CodingWriting and fixing software12o4-mini2 of 3 tests
- FactsGetting facts right instead of making them up12o4-mini2 of 3 tests
- Long documentsFinding answers in very long texts01o4-mini1 of 1 test
- Following instructionsDoing exactly what it is asked01o4-mini1 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-4.5-Air costs 79% 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 o4-mini pulls ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+31.1points ahead
- Finds hard-to-locate facts by browsing the webBrowseComp+30.2points ahead
- Real work tasks from 44 professionsGDPVal+22.4points ahead
Where GLM-4.5-Air pulls ahead
- Hard command-line tasks in a real terminalTerminal-Bench Hard+5.3points ahead
Every test, side by side
All 30 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Codingo4-mini
- SciCodeo4-mini by 15.930.646.5+15.9
- SWE-bench Verifiedo4-mini by 10.557.668.1+10.5
- Terminal-Bench HardGLM-4.5-Air by 5.320.515.2+5.3
Agentso4-mini
- BrowseCompo4-mini by 30.221.351.5+30.2
- GDPValo4-mini by 22.4325.4+22.4
Reasoningo4-mini
- Humanity's Last Examo4-mini by 9.5716.5+9.5
- GPQA Diamondo4-mini by 5.173.378.4+5.1
- CritPttie00.6tie
Factso4-mini
- AA-Omniscience · Non-hallucinationo4-mini by 12.47.119.5+12.4
- Vectara HHEM hallucination ratelower is betterGLM-4.5-Air by 9.39.318.6+9.3
- AA-Omniscience · Accuracyo4-mini by 8.516.324.8+8.5
Other results17 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.
- HarmBencho4-mini by 40.856.197+40.8
- AA-Omniscienceo4-mini by 25.8-61.5-35.7+25.8
- AIR-Bench 2024o4-mini by 21.457.178.5+21.4
- AA Agentic Indexo4-mini by 15.12136.1+15.1
- TAU-bench (airline)GLM-4.5-Air by 11.660.849.2+11.6
- AIME 2025o4-mini by 9.483.392.7+9.4
- vectara_factual_consistencyGLM-4.5-Air by 9.390.781.4+9.3
- τ²-Bench Telecom (AA run)o4-mini by 9.146.555.6+9.1
- LiveCodeBencho4-mini by 6.770.777.4+6.7
- TAU-bench (retail)GLM-4.5-Air by 6.177.971.8+6.1
- vectara_avg_summary_lengtho4-mini by 57.1 rating points70.6127.7+57.1 rating
- AA Intelligenceo4-mini by 5.611.116.7+5.6
- Artificial Analysis Coding Indexo4-mini by 1.823.825.6+1.8
- XSTestGLM-4.5-Air by 1.298.697.4+1.2
- vectara_answer_rateo4-mini by 1.198.199.2+1.1
- simple_safety_testso4-mini by 199100+1
- anthropic_red_teamtie9998.2tie
Questions people ask
Which is better, GLM-4.5-Air or o4-mini?
o4-mini wins all six areas where both have results: coding, agents, reasoning, facts, long documents and following instructions. GLM-4.5-Air wins none, but costs 79% less.
Which is better for coding?
o4-mini. It wins 2 of the 3 coding tests both models report; GLM-4.5-Air wins 1.
Which is cheaper?
GLM-4.5-Air costs $0.17 per million input tokens and $0.98 per million output tokens; o4-mini costs $1.10 and $4.40. That makes GLM-4.5-Air about 79% cheaper for the same work.
How do you compare the two?
We use the 30 benchmark tests both models have published scores on. The verdict counts the 13 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 17 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.