Head-to-Head Model Comparison

Mistral NeMo vs Mixtral 8x22B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Mistral NeMoProfile

Mixtral 8x22BProfile

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Mistral AI

Mistral NeMo

Açık Ağırlıklı Temel Model

Mistral AI tarafından geliştirilen Mistral NeMo; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 128K bağlam penceresi, 90 token/sn hız, 39/100 zeka indeksi ve 1M token başına $0

Intelligence Index39 / 100

Input Token:

$0.15 / 1M

Output Token:

$0.15 / 1M

Context Window:

128K tokens

SWE-bench Verified:

29%

Mistral AI

Mixtral 8x22B

Açık Ağırlıklı Temel Model

Mistral AI tarafından geliştirilen Mixtral 8x22B; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 66K bağlam penceresi, 55 token/sn hız, 44/100 zeka indeksi ve 1M token başına $1

Intelligence Index44 / 100

Input Token:

$1.20 / 1M

Output Token:

$1.20 / 1M

Context Window:

65.5K tokens

SWE-bench Verified:

36%

Bir Bakışta Temel Farklar

Mistral NeMo is 8.7x cheaper for API usage (input + output tokens combined).
Mistral NeMo has a larger context window (128K vs 66K tokens).
Mistral NeMo is faster at 90 tok/s vs 55 tok/s.
Mixtral 8x22B leads on SWE-bench coding (36.0% vs 29.0%).

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

Feature	Mistral NeMo	Mixtral 8x22B
Intelligence Index Composite reasoning & knowledge score (0-100)	39	44
Provider	Mistral AI	Mistral AI
Input Price Cost per million input tokens	$0.15 / 1M	$1.20 / 1M
Output Price Cost per million output tokens	$0.15 / 1M	$1.20 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.08 / 1M	$0.78 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	65.5K tokens~98 A4 pages of text
Max Output Tokens Per single request	8K	8K
Throughput Speed Tokens generated per second	90 tok/s	55 tok/s
SWE-bench Verified Real-world software engineering	29%	36%
GPQA Diamond Graduate-level reasoning	44.5%	51.2%
Cached Input Price Prompt caching discount per 1M tokens	$0.05 / 1M	$0.60 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Mixtral 8x22B

+7.0% SWE-bench lead

Cost

Mistral NeMo

8.7x cheaper monthly runtime

Speed

Mistral NeMo

+64% faster generation

Context

Mistral NeMo

128K tokens window

Doğrulanmış Benchmark Puanları

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

Mistral NeMoMixtral 8x22B

SWE-bench Verified (Autonomous Coding)

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

29%vs36%

GPQA Diamond (Doctorate-Level Science & Math)

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

44.5%vs51.2%

MMLU-Pro (Multi-task Language Understanding)

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

68.2%vs74%

LMSYS Chatbot Arena Elo

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

1220ptsvs1260pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

25%vs31%

AIME (Advanced Math Competition)

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

50%vs62%

Long-Context Reasoning

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

66%vs68%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

90 tok/s vs55 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 NeMo0.40s

Mixtral 8x22B0.70s

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

Mistral NeMo5.96s

Mixtral 8x22B9.79s

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 NeMo Monthly API Bill

$0.43 / month

$0.15/1M in · $0.15/1M out

Mixtral 8x22B Monthly API Bill

$3.78 / month

$1.2/1M in · $1.2/1M out

Mistral NeMo saves approximately $3.34 / month (88%) under this workload.8.7x Savings

Mistral NeMo · Strengths & Key Advantages

128K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 29% · GPQA Diamond 44.5%)
Sadece 400 ms ilk token gecikmesi (TTFT) ile saniyede 90 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (12B)

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

Mixtral 8x22B · Strengths & Key Advantages

66K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 36% · GPQA Diamond 51.2%)
Sadece 700 ms ilk token gecikmesi (TTFT) ile saniyede 55 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (141B total (39B 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

Token Use & Task Economics

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

Metric	Mistral NeMo	Mixtral 8x22B
Cost per Task Estimated USD to finish one task	$0.08	$0.45
Output Tokens / Task Tokens generated per task	25K	35K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Mistral NeMo	Mixtral 8x22B
Official API Model ID (SDK)	mistral-nemo-latest	mixtral-8x22b-latest
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2024-07	2024-04
Knowledge Cutoff	July 2024	March 2024
Architecture	Dense Transformer with Tekken Tokenizer	Sparse Mixture-of-Experts (8x22B)
Parameters	12B	141B total (39B active MoE)
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 ($0.15/1M in) across full 128K window	Flat rate ($1.2/1M in) across full 66K window
Prompt Cache Policy & TTL	Cached input at $0.05/1M tokens	Cached input at $0.6/1M 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)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 7 GB VRAM (4-bit Quantized) · 26 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 87 GB VRAM (4-bit Quantized) · 303 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	text
Output Modalities	text	text

Mistral NeMo vs Mixtral 8x22B: Hızlı Yanıtlar (SSS)

Which is more intelligent, Mistral NeMo or Mixtral 8x22B?

Mixtral 8x22B is more intelligent. It scores 44 compared with 39 on the composite Intelligence Index.

Which model is faster?

Mistral NeMo is faster, generating 90 tokens per second compared with 55 tokens per second.

Which model is cheaper to run?

Mistral NeMo is cheaper at $0.08 per 1M tokens blended, compared with $0.78 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Mistral NeMo has lower latency, with a time to first token of 0.40s compared with 0.70s.

Which model has a larger context window?

Mistral NeMo has a larger context window, supporting 128K tokens compared with 65.5K tokens.

Sonuç

Hem Mistral NeMo (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 Mixtral 8x22B (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: Mixtral 8x22B karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Mistral NeMo daha yüksek üretim hızı sağlar; Mistral NeMo ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Mistral NeMo mi yoksa Mixtral 8x22B mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Mixtral 8x22B önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Mistral NeMo ve Mixtral 8x22B API fiyatları nasıl karşılaştırılır?+

Mistral NeMo 1M giriş/çıkış tokeni başına $0.15 / $0.15 ücretlendirilirken, Mixtral 8x22B $1.20 / $1.20 seviyesindedir. Karma maliyette Mistral NeMo daha avantajlıdır.

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

Mistral NeMo 128K token bağlam penceresi sunarken Mixtral 8x22B 65.5K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Mistral NeMo 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 NeMo vs Mixtral 8x22B

İstediğiniz Modelleri Seçin ve Karşılaştırın

Mistral NeMo

Mixtral 8x22B

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Mistral NeMo · Strengths & Key Advantages

Considerations & Trade-offs

Mixtral 8x22B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Mistral NeMo vs Mixtral 8x22B: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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