Head-to-Head Model Comparison

Aya Vision 8B vs Command R7B Arabic

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Aya Vision 8BProfile

Command R7B ArabicProfile

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Popular Matchups:

Cohere

Aya Vision 8B

Mehrsprachiges KI-Modell

Aya Vision 8B von Cohere ist ein KI-Modell für präzise mehrsprachige Übersetzung, globale Kommunikation und sprachübergreifende Analysen mit 16K Kontextfenster, 110 Token/s Durchsatz, einem Intelligenz-Index von 38/100 und $0.1/$0.25 pro 1M

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

Open-Weights-Basismodell

Command R7B Arabic von Cohere ist ein KI-Modell für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität mit 128K Kontextfenster, 135 Token/s Durchsatz, einem Intelligenz-Index von 39/100 und $0.07/$0.2 pro 1M Toke

Intelligence Index39 / 100

Input Token:

$0.07 / 1M

Output Token:

$0.20 / 1M

Context Window:

128K tokens

SWE-bench Verified:

26%

Wichtigste Unterschiede auf einen Blick

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

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-Simulator

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 Kontextfenster und bis zu 4K maximale Output-Token (SWE-bench Verified 22% · GPQA Diamond 41%)
Hohe Generierungsgeschwindigkeit von 110 Token/Sekunde bei nur 350 ms Erstlatenz (TTFT)
Offene Modellgewichte (8B) für lokales Self-Hosting und Fine-Tuning über vLLM, SGLang oder Ollama

Considerations & Trade-offs

Erfordert dedizierte GPU-Hardware mit ausreichend VRAM für den lokalen Betrieb in voller Präzision
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Command R7B Arabic · Strengths & Key Advantages

128K Kontextfenster und bis zu 4K maximale Output-Token (SWE-bench Verified 26% · GPQA Diamond 43%)
Hohe Generierungsgeschwindigkeit von 135 Token/Sekunde bei nur 310 ms Erstlatenz (TTFT)
Offene Modellgewichte (7B) für lokales Self-Hosting und Fine-Tuning über vLLM, SGLang oder Ollama

Considerations & Trade-offs

Erfordert dedizierte GPU-Hardware mit ausreichend VRAM für den lokalen Betrieb in voller Präzision
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

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

Technische Spezifikationen

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: Schnelle Antworten (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.

Fazit

Sowohl Aya Vision 8B (Optimal für präzise mehrsprachige Übersetzung, globale Kommunikation und sprachübergreifende Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Command R7B Arabic (Optimal für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Command R7B Arabic führt bei komplexem Reasoning und Coding, Command R7B Arabic liefert den höheren Token-Durchsatz und Command R7B Arabic ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Aya Vision 8B oder Command R7B Arabic?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Command R7B Arabic vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Aya Vision 8B und Command R7B Arabic?+

Aya Vision 8B kostet $0.10 / $0.25 pro 1M Input-/Output-Tokens, Command R7B Arabic liegt bei $0.07 / $0.20. Beim gewichteten Gesamtpreis ist Command R7B Arabic günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Aya Vision 8B bietet 16K Tokens Kontext gegenüber 128K Tokens bei Command R7B Arabic. Bei der Generierungsgeschwindigkeit liegt Command R7B Arabic vorn.

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

Beliebige Modelle wechseln & vergleichen

Aya Vision 8B

Command R7B Arabic

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Aya Vision 8B · Strengths & Key Advantages

Considerations & Trade-offs

Command R7B Arabic · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Aya Vision 8B vs Command R7B Arabic: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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