Head-to-Head Model Comparison

Nemotron 3 Nano Omni 30B A3B Reasoning vs Mistral Small 4

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

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Nemotron 3 Nano Omni 30B A3B ReasoningProfile

Mistral Small 4Profile

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Popular Matchups:

NVIDIA

Nemotron 3 Nano Omni 30B A3B Reasoning

Yerel Çok Modlu Yapay Zeka

NVIDIA tarafından geliştirilen Nemotron 3 Nano Omni 30B A3B Reasoning; yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi için tasarlanmış olup 256K bağlam penceresi, 105 token/sn hız, 48/100 zeka indeksi ve 1M token başına $

Intelligence Index48 / 100

Input Token:

$0.20 / 1M

Output Token:

$0.60 / 1M

Context Window:

256K tokens

SWE-bench Verified:

42%

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%

Bir Bakışta Temel Farklar

Mistral Small 4 is 2.0x cheaper for API usage (input + output tokens combined).
Mistral Small 4 is faster at 120 tok/s vs 105 tok/s.
Mistral Small 4 leads on SWE-bench coding (44.5% vs 42.0%).

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

Feature	Nemotron 3 Nano Omni 30B A3B Reasoning	Mistral Small 4
Intelligence Index Composite reasoning & knowledge score (0-100)	48	48
Provider	NVIDIA	Mistral AI
Input Price Cost per million input tokens	$0.20 / 1M	$0.10 / 1M
Output Price Cost per million output tokens	$0.60 / 1M	$0.30 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.14 / 1M	$0.07 / 1M
Context Window Maximum input + output tokens	256K tokens~384 A4 pages of text	256K tokens~384 A4 pages of text
Max Output Tokens Per single request	16K	16K
Throughput Speed Tokens generated per second	105 tok/s	120 tok/s
SWE-bench Verified Real-world software engineering	42%	44.5%
GPQA Diamond Graduate-level reasoning	56.5%	56%
Cached Input Price Prompt caching discount per 1M tokens	$0.05 / 1M	$0.03 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Mistral Small 4

+2.5% SWE-bench lead

Cost

Mistral Small 4

2.0x cheaper monthly runtime

Speed

Mistral Small 4

+14% faster generation

Context

Tied

256K tokens window

Doğrulanmış Benchmark Puanları

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

Nemotron 3 Nano Omni 30B A3B ReasoningMistral Small 4

SWE-bench Verified (Autonomous Coding)

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

42%vs44.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

56.5%vs56%

MMLU-Pro (Multi-task Language Understanding)

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

77.2%vs78%

LMSYS Chatbot Arena Elo

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

1310ptsvs1315pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

36.5%vs38%

AIME (Advanced Math Competition)

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

66%vs66%

Long-Context Reasoning

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

78%vs80%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

105 tok/s vs120 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

Nemotron 3 Nano Omni 30B A3B Reasoning0.38s

Mistral Small 40.34s

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

Nemotron 3 Nano Omni 30B A3B Reasoning5.14s

Mistral Small 44.51s

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)

Nemotron 3 Nano Omni 30B A3B Reasoning Monthly API Bill

$0.92 / month

$0.2/1M in · $0.6/1M out

Mistral Small 4 Monthly API Bill

$0.47 / month

$0.1/1M in · $0.3/1M out

Mistral Small 4 saves approximately $0.45 / month (49%) under this workload.2.0x Savings

Nemotron 3 Nano Omni 30B A3B Reasoning · Strengths & Key Advantages

256K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 42% · GPQA Diamond 56.5%)
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 (30B (3B MoE))

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 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

Token Use & Task Economics

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

Metric	Nemotron 3 Nano Omni 30B A3B Reasoning	Mistral Small 4
Cost per Task Estimated USD to finish one task	$0.22	$0.12
Output Tokens / Task Tokens generated per task	28K	28K
Reasoning Tokens / Task Thinking tokens burned per task	12K	12K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Nemotron 3 Nano Omni 30B A3B Reasoning	Mistral Small 4
Official API Model ID (SDK)	nemotron-3-nano-omni-30b-a3b	mistral-small-4-latest
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-04	2026-03
Knowledge Cutoff	February 2026	January 2026
Architecture	Omnimodal Sparse MoE (30B Total / 3B Active)	Next-Gen Compact Multimodal Transformer
Parameters	30B (3B active MoE)	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 ($0.2/1M in) across full 256K window	Flat rate ($0.1/1M in) across full 256K window
Prompt Cache Policy & TTL	Cached input at $0.05/1M tokens	Cached input at $0.03/1M 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) · Audio (~25–32 tokens/sec)	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) · 19 GB VRAM (4-bit Quantized) · 65 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, audio	text, vision
Output Modalities	text	text

Nemotron 3 Nano Omni 30B A3B Reasoning vs Mistral Small 4: Hızlı Yanıtlar (SSS)

Which model is faster?

Mistral Small 4 is faster, generating 120 tokens per second compared with 105 tokens per second.

Which model is cheaper to run?

Mistral Small 4 is cheaper at $0.07 per 1M tokens blended, compared with $0.14 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Mistral Small 4 has lower latency, with a time to first token of 0.34s compared with 0.38s.

Sonuç

Hem Nemotron 3 Nano Omni 30B A3B Reasoning (yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Mistral Small 4 (ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Nemotron 3 Nano Omni 30B A3B Reasoning karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Mistral Small 4 daha yüksek üretim hızı sağlar; Mistral Small 4 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Nemotron 3 Nano Omni 30B A3B Reasoning mi yoksa Mistral Small 4 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Nemotron 3 Nano Omni 30B A3B Reasoning önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Nemotron 3 Nano Omni 30B A3B Reasoning ve Mistral Small 4 API fiyatları nasıl karşılaştırılır?+

Nemotron 3 Nano Omni 30B A3B Reasoning 1M giriş/çıkış tokeni başına $0.20 / $0.60 ücretlendirilirken, Mistral Small 4 $0.10 / $0.30 seviyesindedir. Karma maliyette Mistral Small 4 daha avantajlıdır.

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

Nemotron 3 Nano Omni 30B A3B Reasoning 256K token bağlam penceresi sunarken Mistral Small 4 256K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Mistral Small 4 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)

Nemotron 3 Nano Omni 30B A3B Reasoning vs Mistral Small 4

İstediğiniz Modelleri Seçin ve Karşılaştırın

Nemotron 3 Nano Omni 30B A3B Reasoning

Mistral Small 4

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Nemotron 3 Nano Omni 30B A3B Reasoning · Strengths & Key Advantages

Considerations & Trade-offs

Mistral Small 4 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Nemotron 3 Nano Omni 30B A3B Reasoning vs Mistral Small 4: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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