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Comparisons / DeepSeek-V4.1-Flash vs GLM-5.3-Flash: The Open-Weight Budget Tier

DeepSeek-V4.1-Flash vs GLM-5.3-Flash: The Open-Weight Budget Tier

Updated: 2026-09-22

DeepSeek-V4.1-Flash vs GLM-5.3-Flash: The Open-Weight Budget Tier
Image: AI-generated illustration (Seedream)

Compared entities

Comparison dimensions

API pricing (per 1M tokens, caching) Context window size Reasoning & knowledge performance Coding capabilities Vision / multimodal input Computer-use capabilities Open-weight availability License terms API access & platform features

All figures below are from the China AI Hub database, last verified 2026-09-22. Where a field is not publicly disclosed, we say so rather than estimating.

At a glance

DimensionDeepSeek-V4.1-FlashGLM-5.3-Flash
Context window1,048,576 tokens1,048,576 tokens
Maximum output393,216 tokens131,072 tokens
Input price (per 1M)$0.15$0.15
Output price (per 1M)$0.60$0.50
Open weightsYes (MIT)Yes (Apache-2.0)
API availableYesYes
ReasoningYesYes
CodingYesYes
Vision / VideoYes / Not listedYes / Yes
Tool callingYesNot listed
Function callingYesNot listed
Structured outputYesNot listed
Computer useNot listedYes
Agent capabilityNot listedYes
Benchmark records in DB53

Pricing

The two lowest-priced flagships in our database sit within cents of each other: both list $0.15 per 1M input tokens; DeepSeek-V4.1-Flash lists $0.60 output and GLM-5.3-Flash lists $0.50 output. (DeepSeek additionally lists off-peak pricing at half the peak rates.) At this tier, per-token differences are small; capability differences matter more.

Context and output

Identical 1,048,576-token context windows. DeepSeek-V4.1-Flash lists a 393,216-token maximum output versus 131,072 for GLM-5.3-Flash — a 3x difference for long generations.

Capabilities

Both list reasoning and coding. The profiles then diverge:

  • GLM-5.3-Flash lists video, computer use and agent capability.
  • DeepSeek-V4.1-Flash lists tool calling, function calling and structured output, plus vision (no video).

For structured-output pipelines, DeepSeek-V4.1-Flash lists the relevant capabilities; for agent and GUI-automation work, GLM-5.3-Flash lists them.

Openness and deployment

Both are open weight with permissive licenses: MIT for DeepSeek-V4.1-Flash, Apache-2.0 for GLM-5.3-Flash. Both can be self-hosted. This makes both candidates for local deployment with community quantization.

Benchmarks and verification

The database holds 5 benchmark records for DeepSeek-V4.1-Flash and 3 for GLM-5.3-Flash, labeled by source type and version. We do not rank the models on this page; check each benchmark page for score-by-score source labels.

Trade-off summary

  • Price: essentially tied ($0.15 input both; $0.50 vs $0.60 output).
  • Output length: DeepSeek-V4.1-Flash lists 3x the maximum output.
  • Tools and structure: DeepSeek-V4.1-Flash lists tool/function calling and structured output.
  • Agent/GUI: GLM-5.3-Flash lists computer use, agent capability and video.
  • License: both permissive open weight (MIT vs Apache-2.0).

The right pick depends on whether the workload is structured API/agent-tool pipelines or GUI/video automation — the prices are close enough that capability fit should decide. Verify current prices on the official pages before committing.

Sources