Head-to-Head Model Comparison

Command A Translate vs Mistral Small 3.2

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.

Command A TranslateProfile

Mistral Small 3.2Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Cohere

Command A Translate

Hafif ve Ekonomik Model

Cohere tarafından geliştirilen Command A Translate; token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı için tasarlanmış olup 8K bağlam penceresi, 130 token/sn hız, 40/100 zeka indeksi ve 1M token başına $0.2/$0.4 fiyatlandır

Intelligence Index40 / 100

Input Token:

$0.20 / 1M

Output Token:

$0.40 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

N/A

Mistral AI

Mistral Small 3.2

Açık Ağırlıklı Temel Model

Mistral AI tarafından geliştirilen Mistral Small 3.2; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 128K bağlam penceresi, 100 token/sn hız, 43/100 zeka indeksi ve 1M token baş

Intelligence Index43 / 100

Input Token:

$0.10 / 1M

Output Token:

$0.30 / 1M

Context Window:

128K tokens

SWE-bench Verified:

34%

Bir Bakışta Temel Farklar

Mistral Small 3.2 is 1.5x cheaper for API usage (input + output tokens combined).
Mistral Small 3.2 has a larger context window (128K vs 8K tokens).
Command A Translate is faster at 130 tok/s vs 100 tok/s.

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

Feature	Command A Translate	Mistral Small 3.2
Intelligence Index Composite reasoning & knowledge score (0-100)	40	43
Provider	Cohere	Mistral AI
Input Price Cost per million input tokens	$0.20 / 1M	$0.10 / 1M
Output Price Cost per million output tokens	$0.40 / 1M	$0.30 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.11 / 1M	$0.09 / 1M
Context Window Maximum input + output tokens	8.2K tokens~12 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	4K	8K
Throughput Speed Tokens generated per second	130 tok/s	100 tok/s
SWE-bench Verified Real-world software engineering	N/A	34%
GPQA Diamond Graduate-level reasoning	N/A	48.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.05 / 1M	$0.05 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Mistral Small 3.2

1.5x cheaper monthly runtime

Speed

Command A Translate

+30% faster generation

Context

Mistral Small 3.2

128K tokens window

Doğrulanmış Benchmark Puanları

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

Command A TranslateMistral Small 3.2

SWE-bench Verified (Autonomous Coding)

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

N/Avs34%

GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs48.5%

MMLU-Pro (Multi-task Language Understanding)

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

68%vs72.5%

LMSYS Chatbot Arena Elo

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

1235ptsvs1255pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs29%

AIME (Advanced Math Competition)

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

N/Avs55%

Long-Context Reasoning

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

N/Avs68%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 tok/s vs100 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

Command A Translate0.32s

Mistral Small 3.20.40s

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

Command A Translate4.17s

Mistral Small 3.25.40s

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)

Command A Translate Monthly API Bill

$0.74 / month

$0.2/1M in · $0.4/1M out

Mistral Small 3.2 Monthly API Bill

$0.50 / month

$0.1/1M in · $0.3/1M out

Mistral Small 3.2 saves approximately $0.24 / month (33%) under this workload.1.5x Savings

Command A Translate · Strengths & Key Advantages

8K bağlam penceresi ve yanıt başına maksimum 4K çıktı tokenı kapasitesi (MMLU-Pro 68% · Arena Elo 1235)
Sadece 320 ms ilk token gecikmesi (TTFT) ile saniyede 130 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (Confidential (~14B))

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 3.2 · Strengths & Key Advantages

128K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 34% · GPQA Diamond 48.5%)
Sadece 400 ms ilk token gecikmesi (TTFT) ile saniyede 100 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	Command A Translate	Mistral Small 3.2
Cost per Task Estimated USD to finish one task	$0.04	$0.09
Output Tokens / Task Tokens generated per task	15K	25K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Command A Translate	Mistral Small 3.2
Official API Model ID (SDK)	command-a-translate	mistral-small-3-2-latest
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-08	2025-06
Knowledge Cutoff	June 2025	April 2025
Architecture	Specialized Enterprise Neural Translation Transformer	Compact Vision-Language Transformer
Parameters	Confidential (~14B)	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 8K window	Flat rate ($0.1/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.05/1M 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)	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) · 9 GB VRAM (4-bit Quantized) · 30 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	text, vision
Output Modalities	text	text

Command A Translate vs Mistral Small 3.2: Hızlı Yanıtlar (SSS)

Which is more intelligent, Command A Translate or Mistral Small 3.2?

Mistral Small 3.2 is more intelligent. It scores 43 compared with 40 on the composite Intelligence Index.

Which model is faster?

Command A Translate is faster, generating 130 tokens per second compared with 100 tokens per second.

Which model is cheaper to run?

Mistral Small 3.2 is cheaper at $0.09 per 1M tokens blended, compared with $0.11 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Command A Translate has lower latency, with a time to first token of 0.32s compared with 0.40s.

Which model has a larger context window?

Mistral Small 3.2 has a larger context window, supporting 128K tokens compared with 8.2K tokens.

Sonuç

Hem Command A Translate (token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Mistral Small 3.2 (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 Small 3.2 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Command A Translate daha yüksek üretim hızı sağlar; Mistral Small 3.2 ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Command A Translate mi yoksa Mistral Small 3.2 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Mistral Small 3.2 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Command A Translate ve Mistral Small 3.2 API fiyatları nasıl karşılaştırılır?+

Command A Translate 1M giriş/çıkış tokeni başına $0.20 / $0.40 ücretlendirilirken, Mistral Small 3.2 $0.10 / $0.30 seviyesindedir. Karma maliyette Mistral Small 3.2 daha avantajlıdır.

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

Command A Translate 8.2K token bağlam penceresi sunarken Mistral Small 3.2 128K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Command A Translate 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)

Command A Translate vs Mistral Small 3.2

İstediğiniz Modelleri Seçin ve Karşılaştırın

Command A Translate

Mistral Small 3.2

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Command A Translate · Strengths & Key Advantages

Considerations & Trade-offs

Mistral Small 3.2 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Command A Translate vs Mistral Small 3.2: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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