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Claude Sonnet 4.6 vs Ministral 3 14B 2512

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Sonnet 4.6 and Ministral 3 14B 2512.

Anthropic

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

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Mistral

Ministral 3 14B 2512

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language...

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Technical Specifications

SpecificationClaude Sonnet 4.6Ministral 3 14B 2512
ProviderAnthropicMistral
Context Window1,000,000 tokens262,144 tokens
Agent Suitability94/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-172025-12-02

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.6

$3.00

Ministral 3 14B 2512

$0.20

Output Price per Million Tokens

Claude Sonnet 4.6

$15.00

Ministral 3 14B 2512

$0.20

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9040.0%vsN/A
Claude Sonnet 4.6
Ministral 3 14B 2512
HumanEvalPython coding & logic synthesis
9370.0%vsN/A
Claude Sonnet 4.6
Ministral 3 14B 2512
MATHComplex mathematical problem solving
8230.0%vsN/A
Claude Sonnet 4.6
Ministral 3 14B 2512
GPQAGraduate-level expert reasoning
6500.0%vsN/A
Claude Sonnet 4.6
Ministral 3 14B 2512
HellaSwagCommonsense reasoning and inference
9600.0%vsN/A
Claude Sonnet 4.6
Ministral 3 14B 2512
MT-BenchMulti-turn conversation flow quality
940.0%vsN/A
Claude Sonnet 4.6
Ministral 3 14B 2512

Claude Sonnet 4.6 Quirks & Gotchas

  • โ–ธBest balance of speed and capability โ€” default for most Claude integrations
  • โ–ธComputer-use (beta) feature enables autonomous UI interaction

Ministral 3 14B 2512 Quirks & Gotchas

No developer gotchas reported.