Head-to-Head Model Comparison

Aya Vision 8B vs Command R7B Arabic

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책

원하는 AI 모델 선택 및 실시간 비교

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

Aya Vision 8BProfile

Command R7B ArabicProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Cohere

Aya Vision 8B

글로벌 다국어 특화 모델

Cohere의 Aya Vision 8B 모델은 정교한 다국어 번역, 글로벌 비즈니스 커뮤니케이션 및 교차 언어 분석에 최적화된 AI 모델로, 16K 컨텍스트 윈도우, 초당 110 토큰의 생성 속도, 종합 지능 지수 38/100점(1M 토큰당 입력 $0.1 / 출력 $0.25)을 제공합니다.

Intelligence Index38 / 100

Input Token:

$0.10 / 1M

Output Token:

$0.25 / 1M

Context Window:

16K tokens

SWE-bench Verified:

22%

Cohere

Command R7B Arabic

오픈 웨이트 파운데이션 모델

Cohere의 Command R7B Arabic 모델은 프라이빗 클라우드 자체 호스팅, 파인튜닝 및 완벽한 데이터 주권 확보에 최적화된 AI 모델로, 128K 컨텍스트 윈도우, 초당 135 토큰의 생성 속도, 종합 지능 지수 39/100점(1M 토큰당 입력 $0.07 / 출력 $0.2)을 제공합니다.

Intelligence Index39 / 100

Input Token:

$0.07 / 1M

Output Token:

$0.20 / 1M

Context Window:

128K tokens

SWE-bench Verified:

26%

한눈에 보는 핵심 차이점

Command R7B Arabic is 1.3x cheaper for API usage (input + output tokens combined).
Command R7B Arabic has a larger context window (128K vs 16K tokens).
Command R7B Arabic is faster at 135 tok/s vs 110 tok/s.
Command R7B Arabic leads on SWE-bench coding (26.0% vs 22.0%).

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

Feature	Aya Vision 8B	Command R7B Arabic
Intelligence Index Composite reasoning & knowledge score (0-100)	38	39
Provider	Cohere	Cohere
Input Price Cost per million input tokens	$0.10 / 1M	$0.07 / 1M
Output Price Cost per million output tokens	$0.25 / 1M	$0.20 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.07 / 1M	$0.05 / 1M
Context Window Maximum input + output tokens	16K tokens~24 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	4K	4K
Throughput Speed Tokens generated per second	110 tok/s	135 tok/s
SWE-bench Verified Real-world software engineering	22%	26%
GPQA Diamond Graduate-level reasoning	41%	43%
Cached Input Price Prompt caching discount per 1M tokens	$0.03 / 1M	$0.02 / 1M

부문별 우위 모델

At-a-glance decision framework

Coding

Command R7B Arabic

+4.0% SWE-bench lead

Cost

Command R7B Arabic

1.3x cheaper monthly runtime

Speed

Command R7B Arabic

+23% faster generation

Context

Command R7B Arabic

128K tokens window

검증된 벤치마크 점수 비교

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

Aya Vision 8BCommand R7B Arabic

SWE-bench Verified (Autonomous Coding)

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

22%vs26%

GPQA Diamond (Doctorate-Level Science & Math)

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

41%vs43%

MMLU-Pro (Multi-task Language Understanding)

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

64%vs67%

LMSYS Chatbot Arena Elo

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

1220ptsvs1225pts

Long-Context Reasoning

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

N/Avs70%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

110 tok/s vs135 tok/s

지연 시간(Latency) 및 응답 속도

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

Aya Vision 8B0.35s

Command R7B Arabic0.31s

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

Aya Vision 8B4.90s

Command R7B Arabic4.01s

실시간 API 토큰 비용 시뮬레이터

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)

Aya Vision 8B Monthly API Bill

$0.42 / month

$0.1/1M in · $0.25/1M out

Command R7B Arabic Monthly API Bill

$0.32 / month

$0.07/1M in · $0.2/1M out

Command R7B Arabic saves approximately $0.10 / month (25%) under this workload.1.3x Savings

Aya Vision 8B · Strengths & Key Advantages

16K 컨텍스트 윈도우 및 최대 4K 출력 토큰 생성 지원 (SWE-bench Verified 22% · GPQA Diamond 41%)
초당 110 토큰의 빠른 처리 속도와 350ms에 불과한 첫 토큰 지연 시간(TTFT)
오픈 웨이트 아키텍처 (8B)를 통해 vLLM, SGLang, Ollama 기반 자체 GPU 서버 구축 및 파인튜닝 가능

Considerations & Trade-offs

비양자화 전체 정밀도로 로컬 서버에서 구동하려면 충분한 GPU VRAM 용량이 필요합니다
초고난도 학술 연구 및 수학 증명 과제에서는 상위 대형 추론 특화 모델이 더 깊은 분석을 제공할 수 있습니다

Command R7B Arabic · Strengths & Key Advantages

128K 컨텍스트 윈도우 및 최대 4K 출력 토큰 생성 지원 (SWE-bench Verified 26% · GPQA Diamond 43%)
초당 135 토큰의 빠른 처리 속도와 310ms에 불과한 첫 토큰 지연 시간(TTFT)
오픈 웨이트 아키텍처 (7B)를 통해 vLLM, SGLang, Ollama 기반 자체 GPU 서버 구축 및 파인튜닝 가능

Considerations & Trade-offs

비양자화 전체 정밀도로 로컬 서버에서 구동하려면 충분한 GPU VRAM 용량이 필요합니다
초고난도 학술 연구 및 수학 증명 과제에서는 상위 대형 추론 특화 모델이 더 깊은 분석을 제공할 수 있습니다

Token Use & Task Economics

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

Metric	Aya Vision 8B	Command R7B Arabic
Cost per Task Estimated USD to finish one task	$0.06	$0.05
Output Tokens / Task Tokens generated per task	18K	20K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

Feature	Aya Vision 8B	Command R7B Arabic
Official API Model ID (SDK)	aya-vision-8b	command-r7b-arabic
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-03	2025-02
Knowledge Cutoff	January 2025	December 2024
Architecture	Multilingual Vision-Language Transformer	Arabic-Specialized RAG Transformer
Parameters	8B	7B
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 ($0.1/1M in) across full 16K window	Flat rate ($0.07/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.03/1M tokens	Cached input at $0.02/1M 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)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 5 GB VRAM (4-bit Quantized) · 17 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 4 GB VRAM (4-bit Quantized) · 15 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	text
Output Modalities	text	text

Aya Vision 8B vs Command R7B Arabic: 핵심 요약 문답 (FAQ)

Which is more intelligent, Aya Vision 8B or Command R7B Arabic?

Command R7B Arabic is more intelligent. It scores 39 compared with 38 on the composite Intelligence Index.

Which model is faster?

Command R7B Arabic is faster, generating 135 tokens per second compared with 110 tokens per second.

Which model is cheaper to run?

Command R7B Arabic is cheaper at $0.05 per 1M tokens blended, compared with $0.07 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Command R7B Arabic has lower latency, with a time to first token of 0.31s compared with 0.35s.

Which model has a larger context window?

Command R7B Arabic has a larger context window, supporting 128K tokens compared with 16K tokens.

종합 평가

Aya Vision 8B(정교한 다국어 번역, 글로벌 비즈니스 커뮤니케이션 및 교차 언어 분석, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.)와 Command R7B Arabic(프라이빗 클라우드 자체 호스팅, 파인튜닝 및 완벽한 데이터 주권 확보, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.) 모두 뛰어난 성능을 자랑합니다. 고난도 추론과 코딩 벤치마크에서는 Command R7B Arabic가 앞서며, 토큰 생성 속도에서는 Command R7B Arabic가 빠르고, 대규모 API 운영 비용 면에서는 Command R7B Arabic가 더 경제적입니다.

자주 묻는 질문 (FAQ)

코딩과 복잡한 추론에는 Aya Vision 8B와 Command R7B Arabic 중 어느 모델이 더 나은가요?+

종합 지능 지수 및 코딩 벤치마크에서는 Command R7B Arabic가 우위를 보입니다. 상단의 SWE-bench 및 GPQA 점수를 함께 확인해 보세요.

Aya Vision 8B와 Command R7B Arabic의 API 요금 차이는 얼마인가요?+

Aya Vision 8B는 100만 토큰당 입력 $0.10 / 출력 $0.25이며, Command R7B Arabic는 입력 $0.07 / 출력 $0.20입니다. 혼합 비용 기준으로는 Command R7B Arabic가 더 저렴합니다.

어느 모델이 더 큰 컨텍스트 윈도우와 빠른 속도를 제공하나요?+

컨텍스트 길이는 Aya Vision 8B가 16K 토큰, Command R7B Arabic가 128K 토큰를 지원하며, 출력 속도 면에서는 Command R7B Arabic가 더 빠릅니다.

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)

Aya Vision 8B vs Command R7B Arabic

원하는 AI 모델 선택 및 실시간 비교

Aya Vision 8B

Command R7B Arabic

부문별 우위 모델

검증된 벤치마크 점수 비교

지연 시간(Latency) 및 응답 속도

실시간 API 토큰 비용 시뮬레이터

Aya Vision 8B · Strengths & Key Advantages

Considerations & Trade-offs

Command R7B Arabic · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

기술 사양 (Specifications)

Aya Vision 8B vs Command R7B Arabic: 핵심 요약 문답 (FAQ)

종합 평가

자주 묻는 질문 (FAQ)

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