Head-to-Head Model Comparison

Mistral Small 4 vs GPT-4.1 mini

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

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Mistral Small 4Profile

GPT-4.1 miniProfile

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Mistral AI

Mistral Small 4

Ultra Hızlı Düşük Gecikme

Mistral AI tarafından geliştirilen Mistral Small 4; ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme için tasarlanmış olup 256K bağlam penceresi, 120 token/sn hız, 48/100 zeka indeksi ve 1M token başına $0.1/$0.3 fi

Intelligence Index48 / 100

Input Token:

$0.10 / 1M

Output Token:

$0.30 / 1M

Context Window:

256K tokens

SWE-bench Verified:

44.5%

OpenAI

GPT-4.1 mini

Hafif ve Ekonomik Model

OpenAI tarafından geliştirilen GPT-4.1 mini; token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı için tasarlanmış olup 1.0M bağlam penceresi, 165 token/sn hız, 36/100 zeka indeksi ve 1M token başına $0.4/$1.6 fiyatlandırma su

Intelligence Index36 / 100

Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

36.5%

Bir Bakışta Temel Farklar

Mistral Small 4 is 4.7x cheaper for API usage (input + output tokens combined).
GPT-4.1 mini has a larger context window (1M vs 256K tokens).
GPT-4.1 mini is faster at 165 tok/s vs 120 tok/s.
Mistral Small 4 leads on SWE-bench coding (44.5% vs 36.5%).

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

Feature	Mistral Small 4	GPT-4.1 mini
Intelligence Index Composite reasoning & knowledge score (0-100)	48	36
Provider	Mistral AI	OpenAI
Input Price Cost per million input tokens	$0.10 / 1M	$0.40 / 1M
Output Price Cost per million output tokens	$0.30 / 1M	$1.60 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.07 / 1M	$0.31 / 1M
Context Window Maximum input + output tokens	256K tokens~384 A4 pages of text	1.05M tokens~1,571 A4 pages of text
Max Output Tokens Per single request	16K	33K
Throughput Speed Tokens generated per second	120 tok/s	165 tok/s
SWE-bench Verified Real-world software engineering	44.5%	36.5%
GPQA Diamond Graduate-level reasoning	56%	49.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.03 / 1M	$0.10 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Mistral Small 4

+8.0% SWE-bench lead

Cost

Mistral Small 4

4.7x cheaper monthly runtime

Speed

GPT-4.1 mini

+38% faster generation

Context

GPT-4.1 mini

1.05M tokens window

Doğrulanmış Benchmark Puanları

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

Mistral Small 4GPT-4.1 mini

SWE-bench Verified (Autonomous Coding)

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

44.5%vs36.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

56%vs49.5%

MMLU-Pro (Multi-task Language Understanding)

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

78%vs68%

LMSYS Chatbot Arena Elo

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

1315ptsvs1258pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs6.2%

Terminal-Bench (Agentic Coding & Terminal Use)

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

38%vs19%

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs24.5%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs38%

AIME (Advanced Math Competition)

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

66%vs42%

Long-Context Reasoning

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

80%vs57.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

120 tok/s vs165 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 Small 40.34s

GPT-4.1 mini0.30s

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

Mistral Small 44.51s

GPT-4.1 mini3.33s

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 Small 4 Monthly API Bill

$0.47 / month

$0.1/1M in · $0.3/1M out

GPT-4.1 mini Monthly API Bill

$2.19 / month

$0.4/1M in · $1.6/1M out

Mistral Small 4 saves approximately $1.73 / month (79%) under this workload.4.7x Savings

Mistral Small 4 · Strengths & Key Advantages

256K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 44.5% · GPQA Diamond 56%)
Sadece 340 ms ilk token gecikmesi (TTFT) ile saniyede 120 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

GPT-4.1 mini · Strengths & Key Advantages

1.0M bağlam penceresi ve yanıt başına maksimum 33K çıktı tokenı kapasitesi (SWE-bench Verified 36.5% · GPQA Diamond 49.5%)
Sadece 300 ms ilk token gecikmesi (TTFT) ile saniyede 165 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.4/$1.6 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
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 Small 4	GPT-4.1 mini
Cost per Task Estimated USD to finish one task	$0.12	$0.14
Output Tokens / Task Tokens generated per task	28K	48K
Reasoning Tokens / Task Thinking tokens burned per task	12K	0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Mistral Small 4	GPT-4.1 mini
Official API Model ID (SDK)	mistral-small-4-latest	gpt-4-1-mini
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI Responses API & Chat Completions v1
Release Date	2026-03	2025-04
Knowledge Cutoff	January 2026	June 2024
Architecture	Next-Gen Compact Multimodal Transformer	Dense multimodal transformer (small)
Parameters	24B	Confidential
Enterprise Rate Limits (RPM / TPM)	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.1/1M in) across full 256K window	Flat rate ($0.4/1M in) across full 1048K window
Prompt Cache Policy & TTL	Cached input at $0.03/1M tokens	Automatic prefix caching at $0.1/1M (no extra cache-write fee)
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 15 GB VRAM (4-bit Quantized) · 52 GB VRAM (Native BF16)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)	OpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision	text, vision
Output Modalities	text	text

Mistral Small 4 vs GPT-4.1 mini: Hızlı Yanıtlar (SSS)

Which is more intelligent, Mistral Small 4 or GPT-4.1 mini?

Mistral Small 4 is more intelligent. It scores 48 compared with 36 on the composite Intelligence Index.

Which model is faster?

GPT-4.1 mini is faster, generating 165 tokens per second compared with 120 tokens per second.

Which model is cheaper to run?

Mistral Small 4 is cheaper at $0.07 per 1M tokens blended, compared with $0.31 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-4.1 mini has lower latency, with a time to first token of 0.30s compared with 0.34s.

Which model has a larger context window?

GPT-4.1 mini has a larger context window, supporting 1.05M tokens compared with 256K tokens.

Sonuç

Hem Mistral Small 4 (ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de GPT-4.1 mini (token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Mistral Small 4 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-4.1 mini daha yüksek üretim hızı sağlar; Mistral Small 4 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Mistral Small 4 mi yoksa GPT-4.1 mini mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Mistral Small 4 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Mistral Small 4 ve GPT-4.1 mini API fiyatları nasıl karşılaştırılır?+

Mistral Small 4 1M giriş/çıkış tokeni başına $0.10 / $0.30 ücretlendirilirken, GPT-4.1 mini $0.40 / $1.60 seviyesindedir. Karma maliyette Mistral Small 4 daha avantajlıdır.

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

Mistral Small 4 256K token bağlam penceresi sunarken GPT-4.1 mini 1.05M token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-4.1 mini 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 Small 4 vs GPT-4.1 mini

İstediğiniz Modelleri Seçin ve Karşılaştırın

Mistral Small 4

GPT-4.1 mini

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Mistral Small 4 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-4.1 mini · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Mistral Small 4 vs GPT-4.1 mini: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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