DeepSeek-V4.1-Flash vs GLM-5.3-Flash
Wins 6 of 8 areas
Coding · Reasoning · Facts · Math · Long documents · Following instructions
Wins 2 of 8 areas
Agents · Images and charts
DeepSeek-V4.1-Flash is the stronger all-rounder.GLM-5.3-Flash is cheaper and better at images and charts.
Scores updated · 37 tests both models report · How we compare
Where each one wins
Tests won in each of the eight areas we test. 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 software50DeepSeek-V4.1-Flash5 of 5 tests
- ReasoningHard problems that need careful thinking40DeepSeek-V4.1-Flash4 of 5 tests · 1 tie
- MathCompetition and research-level math30DeepSeek-V4.1-Flash3 of 3 tests
- FactsGetting facts right instead of making them up21DeepSeek-V4.1-Flash2 of 3 tests
- Long documentsFinding answers in very long texts10DeepSeek-V4.1-Flash1 of 1 test
- Following instructionsDoing exactly what it is asked10DeepSeek-V4.1-Flash1 of 1 test
- Images and chartsUnderstanding pictures, charts and video02GLM-5.3-Flash2 of 2 tests
- AgentsCarrying out multi-step tasks on its own12GLM-5.3-Flash2 of 3 tests
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-5.3-Flash costs 57% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where DeepSeek-V4.1-Flash pulls ahead
- Extremely hard research-level math problemsFrontierMath Tier 4+29.2points ahead
- Fixes real GitHub issues, working as an agentLiveBench · Agentic Coding+20.5points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+18.9points ahead
Where GLM-5.3-Flash pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+68.9points ahead
- Reasoning about charts from research papersCharXiv (RQ)+20.4points ahead
- Finds the root cause of IT system incidentsAA IT-Bench SRE+4.3points ahead
Every test, side by side
All 37 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingDeepSeek-V4.1-Flash
- LiveBench · Agentic CodingDeepSeek-V4.1-Flash by 20.577.356.8+20.5
- Terminal-Bench 2.1DeepSeek-V4.1-Flash by 6.390.684.3+6.3
- SciCodeDeepSeek-V4.1-Flash by 4.355.951.6+4.3
- LMArena · WebDevDeepSeek-V4.1-Flash by 12 rating points16211609+12 rating
- LiveBench · CodingDeepSeek-V4.1-Flash by 18079+1
AgentsGLM-5.3-Flash
- AA IT-Bench SREGLM-5.3-Flash by 4.346.951.2+4.3
- GDPValGLM-5.3-Flash by 2.25557.2+2.2
- Terminal-Bench 4.0DeepSeek-V4.1-Flash by 133.832.8+1
ReasoningDeepSeek-V4.1-Flash
- ARC-AGI-2DeepSeek-V4.1-Flash by 12.378.165.8+12.3
- LiveBench · ReasoningDeepSeek-V4.1-Flash by 9.186.777.6+9.1
- CritPtDeepSeek-V4.1-Flash by 8.62415.4+8.6
- Humanity's Last ExamDeepSeek-V4.1-Flash by 3.443.339.9+3.4
- GPQA Diamondtie90.991.2tie
FactsDeepSeek-V4.1-Flash
- AA-Omniscience · Non-hallucinationGLM-5.3-Flash by 68.93.572.4+68.9
- AA-Omniscience · AccuracyDeepSeek-V4.1-Flash by 18.946.427.5+18.9
- SimpleQA VerifiedDeepSeek-V4.1-Flash by 10.942.932+10.9
Images and chartsGLM-5.3-Flash
- CharXiv (RQ)GLM-5.3-Flash by 20.46989.4+20.4
- LMArena · VisionGLM-5.3-Flash by 16 rating points12791295+16 rating
MathDeepSeek-V4.1-Flash
- FrontierMath Tier 4DeepSeek-V4.1-Flash by 29.246.317.1+29.2
- FrontierMath Tiers 1-3 (v2)DeepSeek-V4.1-Flash by 15.471.255.8+15.4
- LiveBench · MathematicsDeepSeek-V4.1-Flash by 12.193.381.2+12.1
Long documentsDeepSeek-V4.1-Flash
- AA-LCRDeepSeek-V4.1-Flash by 2.782.780+2.7
Following instructionsDeepSeek-V4.1-Flash
- LiveBench · Instruction FollowingDeepSeek-V4.1-Flash by 17.27052.8+17.2
Other results14 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.
- BabyVisionDeepSeek-V4.1-Flash by 36.289.653.4+36.2
- AA-OmniscienceGLM-5.3-Flash by 12.8-5.37.5+12.8
- DeepSWE 1.1DeepSeek-V4.1-Flash by 10.874.263.4+10.8
- Terminal-Bench-Science 0.1DeepSeek-V4.1-Flash by 8.112.94.8+8.1
- NL2RepoDeepSeek-V4.1-Flash by 7.76456.3+7.7
- HLE-DiamondDeepSeek-V4.1-Flash by 7.125.318.2+7.1
- PostTrain Bench v1.2GLM-5.3-Flash by 6.330.536.8+6.3
- Agents' Last ExamDeepSeek-V4.1-Flash by 5.531.826.3+5.5
- livebench_languageDeepSeek-V4.1-Flash by 3.981.277.3+3.9
- livebench_data_analysisDeepSeek-V4.1-Flash by 2.979.376.4+2.9
- ARC-AGI-1DeepSeek-V4.1-Flash by 2.593.591+2.5
- AA IntelligenceGLM-5.3-Flash by 2.339.541.8+2.3
- GDP (Surge AI)DeepSeek-V4.1-Flash by 1.817.215.4+1.8
- CritPt v2 Hardtie2524.5tie
Questions people ask
Which is better, DeepSeek-V4.1-Flash or GLM-5.3-Flash?
DeepSeek-V4.1-Flash wins six of the eight areas we test: coding, reasoning, facts, math, long documents and following instructions. GLM-5.3-Flash wins agents and images and charts, and costs 57% less.
Which is better for coding?
DeepSeek-V4.1-Flash. It wins 5 of the 5 coding tests both models report; GLM-5.3-Flash wins none.
Which is cheaper?
DeepSeek-V4.1-Flash costs $0.30 per million input tokens and $1.20 per million output tokens; GLM-5.3-Flash costs $0.15 and $0.50. That makes GLM-5.3-Flash about 57% cheaper for the same work.
How do you compare the two?
We use the 37 benchmark tests both models have published scores on. The verdict counts the 23 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 14 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.