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DeepSeek V4 Pro vs GLM 5.3 FlashX

Detailed technical comparison between DeepSeek V4 Pro (DeepSeek) and GLM 5.3 FlashX (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

DeepSeek V4 Pro: 6 WinsvsGLM 5.3 FlashX: 0 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.3 FlashX

$0.37 / MTok
DeepSeekactive

DeepSeek V4 Pro

DeepSeek V4 Pro is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek V4 Pro represents a key architectural iteration in the DeepSeek model family. First released in 2026-04-24, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), DeepSeek V4 Pro processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek V4 Pro Full Specs →
Zhipu AIactive

GLM 5.3 FlashX

GLM 5.3 FlashX is an advanced artificial intelligence model engineered by Zhipu AI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GLM 5.3 FlashX represents a key architectural iteration in the Zhipu AI model family. First released in 2026-09-18, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), GLM 5.3 FlashX processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GLM 5.3 FlashX Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationDeepSeek V4 ProGLM 5.3 FlashX
ProviderDeepSeekZhipu AI
Context Window1,048,576 tokens1,048,576 tokens
Agent Suitability94/100 (est.)Not yet benchmarked
Time to First Token (TTFT)280 ms (est.)No public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-04-242026-09-18

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V4 Pro

$0.92

GLM 5.3 FlashX

$0.37

Output Price per Million Tokens

DeepSeek V4 Pro

$1.85

GLM 5.3 FlashX

$1.25

💡 Cost Ratio: GLM 5.3 FlashX is 2.5x cheaper per input token than DeepSeek V4 Pro.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
94.5%vs75.6%+18.9% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
GLM 5.3 FlashX
HumanEvalPython coding & logic synthesis
95.8%vs68.4%+27.4% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
GLM 5.3 FlashX
MATHComplex mathematical problem solving
94.5%vs41.6%+52.9% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
GLM 5.3 FlashX
GPQAGraduate-level expert reasoning
85.0%vs29.0%+56.0% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
GLM 5.3 FlashX
HellaSwagCommonsense reasoning and inference
98.6%vs76.2%+22.4% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
GLM 5.3 FlashX
MT-BenchMulti-turn conversation flow quality
9.6%vs7.9%+1.7% DeepSeek V4 Pro
DeepSeek V4 Pro 🏆
GLM 5.3 FlashX

DeepSeek V4 Pro Quirks & Gotchas

  • MoE architecture — cold-start latency on first request, use keep-alive
  • Best cost-performance ratio of any frontier model — strong tool calling for agentic use

GLM 5.3 FlashX Quirks & Gotchas

No developer gotchas reported.

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