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Mistral Small 3 vs GLM 5.2

Detailed technical comparison between Mistral Small 3 (Mistral) 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

Mistral Small 3: 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

Mistral Small 3

$0.10 / MTok
Mistralactive

Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

View Mistral Small 3 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
SpecificationMistral Small 3GLM 5.2
ProviderMistralZhipu AI
Context Window32,768 tokens1,048,576 tokens🏆
Agent Suitability84/100 (est.)Not yet benchmarked
Time to First Token (TTFT)120 ms (est.)No public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Beta Access (est.)
API AvailableYesYes
Released Date2025-01-302026-06-16

API Pricing Comparison

Input Price per Million Tokens

Mistral Small 3

$0.10

GLM 5.2

$0.80

Output Price per Million Tokens

Mistral Small 3

$0.30

GLM 5.2

$2.50

💡 Cost Ratio: Mistral Small 3 is 8.0x cheaper per input token than GLM 5.2.

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.

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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
81.2%vs89.5%+8.3% GLM 5.2
Mistral Small 3
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
83.0%vs91.2%+8.2% GLM 5.2
Mistral Small 3
GLM 5.2 🏆
MATHComplex mathematical problem solving
68.0%vs80.5%+12.5% GLM 5.2
Mistral Small 3
GLM 5.2 🏆
GPQAGraduate-level expert reasoning
45.0%vs53.5%+8.5% GLM 5.2
Mistral Small 3
GLM 5.2 🏆
HellaSwagCommonsense reasoning and inference
85.0%vs89.8%+4.8% GLM 5.2
Mistral Small 3
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
8.3%vs9.3%+1.0% GLM 5.2
Mistral Small 3
GLM 5.2 🏆

Mistral Small 3 Quirks & Gotchas

  • ▸Fastest TTFT at lowest cost — ideal for high-volume classification
  • ▸Not designed for complex reasoning — route multi-step tasks to Mistral Large 3

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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