Head-to-Head Model Comparison

Pixtral 12B vs Mistral Large 2

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Pixtral 12B vs Mistral Large 2: Benchmarks, Pricing & Speed Comparison

Mistral AI tarafından geliştirilen Pixtral 12B ve Mistral AI tarafından sunulan Mistral Large 2, kendi sınıflarının öne çıkan yapay zeka modelleridir. Pixtral 12B, 128K token bağlam penceresi ve 1M token başına $0.15/$0.15 fiyat sunarken; Mistral Large 2, 128K token bağlam penceresi ve $2.00/$6.00 fiyatla gelir. Aşağıda tüm benchmark, hız ve maliyet detaylarını inceleyebilirsiniz.

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Mistral AI

Pixtral 12B

Yerel Çok Modlu Yapay Zeka

Mistral AI tarafından geliştirilen Pixtral 12B; yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi için tasarlanmış olup 128K bağlam penceresi, 85 token/sn hız, 40/100 zeka indeksi ve 1M token başına $0.15/$0.15 fiyatlandırma

Intelligence Index40 / 100
Input Token:

$0.15 / 1M

Output Token:

$0.15 / 1M

Context Window:

128K tokens

SWE-bench Verified:

28%

Mistral AI

Mistral Large 2

Açık Ağırlıklı Temel Model

Mistral AI tarafından geliştirilen Mistral Large 2; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 128K bağlam penceresi, 75 token/sn hız, 46/100 zeka indeksi ve 1M token başına

Intelligence Index46 / 100
Input Token:

$2.00 / 1M

Output Token:

$6.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

38%

Bir Bakışta Temel Farklar

  • Pixtral 12B is 22.8x cheaper for API usage (input + output tokens combined).
  • Pixtral 12B is faster at 85 tok/s vs 75 tok/s.
  • Mistral Large 2 leads on SWE-bench coding (38.0% vs 28.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeaturePixtral 12BMistral Large 2
Intelligence Index
Composite reasoning & knowledge score (0-100)
4046
Provider
Mistral AIMistral AI
Input Price
Cost per million input tokens
$0.15 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$0.15 / 1M$6.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.08 / 1M$1.70 / 1M
Context Window
Maximum input + output tokens
128K tokens~192 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
8K8K
Throughput Speed
Tokens generated per second
85 tok/s75 tok/s
SWE-bench Verified
Real-world software engineering
28%38%
GPQA Diamond
Graduate-level reasoning
43.8%54%
Cached Input Price
Prompt caching discount per 1M tokens
$0.05 / 1M$1.00 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
Mistral Large 2
+10.0% SWE-bench lead
Cost
Pixtral 12B
22.8x cheaper monthly runtime
Speed
Pixtral 12B
+13% faster generation
Context
Tied
128K tokens window

Doğrulanmış Benchmark Puanları

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

Pixtral 12BMistral Large 2
SWE-bench Verified (Autonomous Coding)

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

28%vs38%
GPQA Diamond (Doctorate-Level Science & Math)

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

43.8%vs54%
MMLU-Pro (Multi-task Language Understanding)

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

67.5%vs76.5%
LMSYS Chatbot Arena Elo

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

1225ptsvs1282pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

24%vsN/A
AIME (Advanced Math Competition)

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

48%vsN/A
Long-Context Reasoning

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

65%vsN/A
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs75 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
Pixtral 12B0.45s
Mistral Large 20.52s
Est. End-to-End Response (500 tokens)TTFT + generation time
Pixtral 12B6.33s
Mistral Large 27.19s

Gerçek Zamanlı Token Maliyet Simülatörü

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Pixtral 12B Monthly API Bill
$0.43 / month
$0.15/1M in · $0.15/1M out
Mistral Large 2 Monthly API Bill
$9.90 / month
$2/1M in · $6/1M out
Pixtral 12B saves approximately $9.46 / month (96%) under this workload.22.8x Savings

Pixtral 12B · Strengths & Key Advantages

  • 128K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 28% · GPQA Diamond 43.8%)
  • Sadece 450 ms ilk token gecikmesi (TTFT) ile saniyede 85 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

Mistral Large 2 · Strengths & Key Advantages

  • 128K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 38% · GPQA Diamond 54%)
  • Sadece 520 ms ilk token gecikmesi (TTFT) ile saniyede 75 token yüksek üretim hızı
  • vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (123B)
Considerations & Trade-offs
  • Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
  • Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

Token Use & Task Economics

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

MetricPixtral 12BMistral Large 2
Cost per Task
Estimated USD to finish one task
$0.09$0.20
Output Tokens / Task
Tokens generated per task
25K24K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeaturePixtral 12BMistral Large 2
Official API Model ID (SDK)pixtral-12b-latestmistral-large-2-latest
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2024-092024-07
Knowledge CutoffAugust 2024July 2024
ArchitectureMultimodal Vision-Language Transformer123B Dense Frontier Transformer
Parameters12B123B
Enterprise Rate Limits (RPM / TPM)Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed CloudUnlimited (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 windowFlat rate ($2/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.05/1M tokensCached input at $1/1M tokens
Computer Use / GUI AgentAPI / 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportFull 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 BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMBF16 / 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) · 76 GB VRAM (4-bit Quantized) · 264 GB VRAM (Native BF16)
Safety & Frontier ClassificationOpen-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 Control100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalitiestext, visiontext
Output Modalitiestexttext

Pixtral 12B vs Mistral Large 2: Hızlı Yanıtlar (SSS)

Which is more intelligent, Pixtral 12B or Mistral Large 2?

Mistral Large 2 is more intelligent. It scores 46 compared with 40 on the composite Intelligence Index.

Which model is faster?

Pixtral 12B is faster, generating 85 tokens per second compared with 75 tokens per second.

Which model is cheaper to run?

Pixtral 12B is cheaper at $0.08 per 1M tokens blended, compared with $1.70 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Pixtral 12B has lower latency, with a time to first token of 0.45s compared with 0.52s.

Sonuç

Hem Pixtral 12B (yerel çok modlu metin ve görsel anlama ile karmaşık belge analizi, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Mistral Large 2 (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 Large 2 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Pixtral 12B daha yüksek üretim hızı sağlar; Pixtral 12B ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Pixtral 12B mi yoksa Mistral Large 2 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Mistral Large 2 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Pixtral 12B ve Mistral Large 2 API fiyatları nasıl karşılaştırılır?+

Pixtral 12B 1M giriş/çıkış tokeni başına $0.15 / $0.15 ücretlendirilirken, Mistral Large 2 $2.00 / $6.00 seviyesindedir. Karma maliyette Pixtral 12B daha avantajlıdır.

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

Pixtral 12B 128K token bağlam penceresi sunarken Mistral Large 2 128K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Pixtral 12B 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.

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Resmi kaynaklar: Mistral AI ve Mistral AI resmi API dokümantasyonu, sistem kartları ve bağımsız benchmark testleri (2026).