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Granite 4.1 8B vs GLM 5.2

Detailed technical comparison between Granite 4.1 8B (IBM) and GLM 5.2 (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

Granite 4.1 8B: 0 WinsvsGLM 5.2: 6 Wins
Context Leader

GLM 5.2

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Granite 4.1 8B

$0.05 / MTok
IBMactive

Granite 4.1 8B

Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...

View Granite 4.1 8B Full Specs →
Zhipu AIactive

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

View GLM 5.2 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGranite 4.1 8BGLM 5.2
ProviderIBMZhipu AI
Context Window131,072 tokens1,048,576 tokens🏆
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-302026-06-16

API Pricing Comparison

Input Price per Million Tokens

Granite 4.1 8B

$0.05

GLM 5.2

$0.80

Output Price per Million Tokens

Granite 4.1 8B

$0.10

GLM 5.2

$2.50

💡 Cost Ratio: Granite 4.1 8B is 15.9x cheaper per input token than GLM 5.2.

Want to test both models live?

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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
75.4%vs89.5%+14.1% GLM 5.2
Granite 4.1 8B
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
71.6%vs91.2%+19.6% GLM 5.2
Granite 4.1 8B
GLM 5.2 🏆
MATHComplex mathematical problem solving
41.4%vs80.5%+39.1% GLM 5.2
Granite 4.1 8B
GLM 5.2 🏆
GPQAGraduate-level expert reasoning
28.8%vs53.5%+24.7% GLM 5.2
Granite 4.1 8B
GLM 5.2 🏆
HellaSwagCommonsense reasoning and inference
76.0%vs89.8%+13.8% GLM 5.2
Granite 4.1 8B
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
7.9%vs9.3%+1.4% GLM 5.2
Granite 4.1 8B
GLM 5.2 🏆

Granite 4.1 8B Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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