Head-to-Head Model Comparison

Mistral Medium 3 vs Mistral Small 3

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

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Mistral Medium 3Profile

Mistral Small 3Profile

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Mistral AI

Mistral Medium 3

Açık Ağırlıklı Temel Model

Mistral AI tarafından geliştirilen Mistral Medium 3; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 131K bağlam penceresi, 85 token/sn hız, 47/100 zeka indeksi ve 1M token başın

Intelligence Index47 / 100

Input Token:

$0.40 / 1M

Output Token:

$2.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

40.5%

Mistral AI

Mistral Small 3

Açık Ağırlıklı Temel Model

Mistral AI tarafından geliştirilen Mistral Small 3; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 32K bağlam penceresi, 105 token/sn hız, 41/100 zeka indeksi ve 1M token başına

Intelligence Index41 / 100

Input Token:

$0.10 / 1M

Output Token:

$0.30 / 1M

Context Window:

32K tokens

SWE-bench Verified:

31.5%

Bir Bakışta Temel Farklar

Mistral Small 3 is 5.2x cheaper for API usage (input + output tokens combined).
Mistral Medium 3 has a larger context window (131K vs 32K tokens).
Mistral Small 3 is faster at 105 tok/s vs 85 tok/s.
Mistral Medium 3 leads on SWE-bench coding (40.5% vs 31.5%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Mistral Medium 3	Mistral Small 3
Intelligence Index Composite reasoning & knowledge score (0-100)	47	41
Provider	Mistral AI	Mistral AI
Input Price Cost per million input tokens	$0.40 / 1M	$0.10 / 1M
Output Price Cost per million output tokens	$2.00 / 1M	$0.30 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.35 / 1M	$0.09 / 1M
Context Window Maximum input + output tokens	131.1K tokens~197 A4 pages of text	32K tokens~48 A4 pages of text
Max Output Tokens Per single request	16K	8K
Throughput Speed Tokens generated per second	85 tok/s	105 tok/s
SWE-bench Verified Real-world software engineering	40.5%	31.5%
GPQA Diamond Graduate-level reasoning	57.5%	46.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.10 / 1M	$0.05 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Mistral Medium 3

+9.0% SWE-bench lead

Cost

Mistral Small 3

5.2x cheaper monthly runtime

Speed

Mistral Small 3

+24% faster generation

Context

Mistral Medium 3

131.1K tokens window

Doğrulanmış Benchmark Puanları

Official evaluation metrics verified by independent third-party research labs.

Mistral Medium 3Mistral Small 3

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

40.5%vs31.5%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

57.5%vs46.5%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

79.5%vs70.2%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1310ptsvs1238pts

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

36%vs27%

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

68%vs52%

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

77%vs64%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs105 tok/s

Gecikme Süresi ve Yanıt Hızı

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Mistral Medium 30.48s

Mistral Small 30.38s

Est. End-to-End Response (500 tokens)TTFT + generation time

Mistral Medium 36.36s

Mistral Small 35.14s

Gerçek Zamanlı Token Maliyet Simülatörü

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Mistral Medium 3 Monthly API Bill

$2.55 / month

$0.4/1M in · $2/1M out

Mistral Small 3 Monthly API Bill

$0.50 / month

$0.1/1M in · $0.3/1M out

Mistral Small 3 saves approximately $2.06 / month (81%) under this workload.5.2x Savings

Mistral Medium 3 · Strengths & Key Advantages

131K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 40.5% · GPQA Diamond 57.5%)
Sadece 480 ms ilk token gecikmesi (TTFT) ile saniyede 85 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (Confidential (~70B))

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Mistral Small 3 · Strengths & Key Advantages

32K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 31.5% · GPQA Diamond 46.5%)
Sadece 380 ms ilk token gecikmesi (TTFT) ile saniyede 105 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (24B)

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Mistral Medium 3	Mistral Small 3
Cost per Task Estimated USD to finish one task	$0.35	$0.08
Output Tokens / Task Tokens generated per task	35K	25K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Mistral Medium 3	Mistral Small 3
Official API Model ID (SDK)	mistral-medium-3-latest	mistral-small-3-latest
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-05	2025-01
Knowledge Cutoff	March 2025	December 2024
Architecture	Enterprise Multimodal Transformer	Compact Dense Transformer
Parameters	Confidential (~70B)	24B
Enterprise Rate Limits (RPM / TPM)	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)	Flat rate ($0.4/1M in) across full 131K window	Flat rate ($0.1/1M in) across full 32K window
Prompt Cache Policy & TTL	Cached input at $0.1/1M tokens	Cached input at $0.05/1M tokens
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 43 GB VRAM (4-bit Quantized) · 151 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 15 GB VRAM (4-bit Quantized) · 52 GB VRAM (Native BF16)
Safety & Frontier Classification	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
Enterprise Compliance (ZDR/HIPAA/SOC2)	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalities	text, vision	text
Output Modalities	text	text

Mistral Medium 3 vs Mistral Small 3: Hızlı Yanıtlar (SSS)

Which is more intelligent, Mistral Medium 3 or Mistral Small 3?

Mistral Medium 3 is more intelligent. It scores 47 compared with 41 on the composite Intelligence Index.

Which model is faster?

Mistral Small 3 is faster, generating 105 tokens per second compared with 85 tokens per second.

Which model is cheaper to run?

Mistral Small 3 is cheaper at $0.09 per 1M tokens blended, compared with $0.35 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Mistral Small 3 has lower latency, with a time to first token of 0.38s compared with 0.48s.

Which model has a larger context window?

Mistral Medium 3 has a larger context window, supporting 131.1K tokens compared with 32K tokens.

Sonuç

Hem Mistral Medium 3 (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Mistral Small 3 (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Mistral Medium 3 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Mistral Small 3 daha yüksek üretim hızı sağlar; Mistral Small 3 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Mistral Medium 3 mi yoksa Mistral Small 3 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Mistral Medium 3 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Mistral Medium 3 ve Mistral Small 3 API fiyatları nasıl karşılaştırılır?+

Mistral Medium 3 1M giriş/çıkış tokeni başına $0.40 / $2.00 ücretlendirilirken, Mistral Small 3 $0.10 / $0.30 seviyesindedir. Karma maliyette Mistral Small 3 daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Mistral Medium 3 131.1K token bağlam penceresi sunarken Mistral Small 3 32K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Mistral Small 3 öndedir.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Mistral Medium 3 vs Mistral Small 3

İstediğiniz Modelleri Seçin ve Karşılaştırın

Mistral Medium 3

Mistral Small 3

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Mistral Medium 3 · Strengths & Key Advantages

Considerations & Trade-offs

Mistral Small 3 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Mistral Medium 3 vs Mistral Small 3: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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