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DeepSeek R1 vs GLM 5.3 FlashX

Detailed technical comparison between DeepSeek R1 (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 R1: 6 WinsvsGLM 5.3 FlashX: 0 Wins
Context Leader

GLM 5.3 FlashX

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.3 FlashX

$0.37 / MTok
DeepSeekactive

DeepSeek R1

DeepSeek R1 is an advanced artificial intelligence model engineered by DeepSeek. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, DeepSeek R1 represents a key architectural iteration in the DeepSeek model family. First released in 2025-01-20, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 163,840 tokens (approximately 218 words), DeepSeek R1 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View DeepSeek R1 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 R1GLM 5.3 FlashX
ProviderDeepSeekZhipu AI
Context Window163,840 tokens1,048,576 tokens🏆
Agent Suitability78/100 (est.)Not yet benchmarked
Time to First Token (TTFT)1800 ms (est.)No public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2025-01-202026-09-18

API Pricing Comparison

Input Price per Million Tokens

DeepSeek R1

$0.70

GLM 5.3 FlashX

$0.37

Output Price per Million Tokens

DeepSeek R1

$2.50

GLM 5.3 FlashX

$1.25

💡 Cost Ratio: GLM 5.3 FlashX is 1.9x cheaper per input token than DeepSeek R1.

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
90.8%vs75.6%+15.2% DeepSeek R1
DeepSeek R1 🏆
GLM 5.3 FlashX
HumanEvalPython coding & logic synthesis
92.8%vs68.4%+24.4% DeepSeek R1
DeepSeek R1 🏆
GLM 5.3 FlashX
MATHComplex mathematical problem solving
93.1%vs41.6%+51.5% DeepSeek R1
DeepSeek R1 🏆
GLM 5.3 FlashX
GPQAGraduate-level expert reasoning
62.1%vs29.0%+33.1% DeepSeek R1
DeepSeek R1 🏆
GLM 5.3 FlashX
HellaSwagCommonsense reasoning and inference
90.5%vs76.2%+14.3% DeepSeek R1
DeepSeek R1 🏆
GLM 5.3 FlashX
MT-BenchMulti-turn conversation flow quality
9.3%vs7.9%+1.5% DeepSeek R1
DeepSeek R1 🏆
GLM 5.3 FlashX

DeepSeek R1 Quirks & Gotchas

  • Reasoning model — not designed for high-frequency tool calling
  • Pair with a smaller model (V4 Flash) for routing and use R1 for complex reasoning only

GLM 5.3 FlashX Quirks & Gotchas

No developer gotchas reported.

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