Skip to content

GLM-5.3-Flash vs DeepSeek V4.1-Flash

GLM-5.3-Flash is from Zhipu AI, released August 26, 2026. DeepSeek V4.1-Flash is from DeepSeek, released September 10, 2026.

  • LMArena Elo1475 vs 1475. Both rated 1475 on LMArena.
  • Input per 1M$0.15 vs $0.30. GLM-5.3-Flash costs 50% less per million input tokens.
  • Output per 1M$0.50 vs $1.20. GLM-5.3-Flash costs 58% less per million output tokens.
  • Context window1M vs 1M. Both hold 1M tokens of context.

Prices are the vendors’ published API rates; Elo is LMArena’s text board. Each figure is dated on its model page.

Interactive Comparison

Loading chart...
$0.15 / $0.50 per million tokens
$0.30 / $1.20 per million tokens
Identity
DeveloperZhipu AIDeepSeek
ReleasedAug 2026Sep 2026
StatusGAGA
LicenceMIT (weights on Hugging Face, zai-org/GLM-5.3-Flash)MIT
Self-hostableYes - MIT weights published at launchYes - open weights on Hugging Face
Cost
Blended $/1M tokensinput × 0.75 + output × 0.25$0.237 / 1M tokens$0.525 / 1M tokens
Input price$0.150 / 1M tokens$0.300 / 1M tokens
Output price$0.500 / 1M tokens$1.200 / 1M tokens
Cached input0.03$0.006 / 1M tokens (peak); $0.003 off-peak
Batch discountNot offered; GLM Coding Plan applies a 50% off-peak points reductionOff-peak billing: 50% off all rates
Free tierNot offered; included in the GLM Coding Plan at 3x the GLM-5.3 quota—
Capacity
Context window1M tokens1M tokens
Max output128k tokens384k tokens
Long-context surchargeNot publishedNone (flat rate across the 1M window)
Capability
Vision inYes - text, image, video and file inputYes
Audio inNot documentedNo
Function callingYesYes
Structured outputYesYes - JSON output
Extended reasoningYes - thinking modeYes - thinking (default) and non-thinking modes
Web searchNot documentedNo
Code executionNot documentedNo
Access
APIYesYes
Chat appYesYes
Cloud marketplacesNot documentedNot offered
Fine-tuningNot offeredNot offered (weights are open)
Measured quality
LMArena Elo1475 (checked Oct 2026)1475 (checked Oct 2026)
LMArena rankRank 38Rank 39
GPQA Diamond90 · max effort—
Elo per dollarLMArena Elo ÷ blended $/1M tokens62112810

Add a third model to this comparison