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Head-to-Head Model Comparison

Aya Vision 8B vs Command R7B Arabic

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Aya Vision 8B vs Command R7B Arabic: Benchmarks, Pricing & Speed Comparison

Aya Vision 8B di Cohere e Command R7B Arabic di Cohere sono due modelli di IA di riferimento. Aya Vision 8B offre una finestra di contesto di 16K token a $0.10/$0.25 per milione di token, mentre Command R7B Arabic mette a disposizione 128K token di contesto a $0.07/$0.20 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Cohere

Aya Vision 8B

Modello Multilingue Globale

Aya Vision 8B di Cohere è un modello di IA progettato per la traduzione multilingue ad alta precisione e la comunicazione aziendale globale, con finestra di contesto da 16K, velocità di 110 token/s, indice di intelligenza di 38/100 e tariff

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

Modello Base a Pesi Aperti

Command R7B Arabic di Cohere è un modello di IA progettato per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, con finestra di contesto da 128K, velocità di 135 token/s, indice di intelligenza di 39/

Intelligence Index39 / 100
Input Token:

$0.07 / 1M

Output Token:

$0.20 / 1M

Context Window:

128K tokens

SWE-bench Verified:

26%

Differenze Chiave a Colpo d’Occhio

  • 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 →
FeatureAya Vision 8BCommand R7B Arabic
Intelligence Index
Composite reasoning & knowledge score (0-100)
3839
Provider
CohereCohere
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 text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
4K4K
Throughput Speed
Tokens generated per second
110 tok/s135 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

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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)
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

  • Finestra di contesto da 16K con capacità massima di output fino a 4K token (SWE-bench Verified 22% · GPQA Diamond 41%)
  • Throughput elevato di 110 token/secondo con latenza al primo token (TTFT) di soli 350 ms
  • Pesi aperti (8B) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama
Considerations & Trade-offs
  • Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Command R7B Arabic · Strengths & Key Advantages

  • Finestra di contesto da 128K con capacità massima di output fino a 4K token (SWE-bench Verified 26% · GPQA Diamond 43%)
  • Throughput elevato di 135 token/secondo con latenza al primo token (TTFT) di soli 310 ms
  • Pesi aperti (7B) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama
Considerations & Trade-offs
  • Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Token Use & Task Economics

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

MetricAya Vision 8BCommand R7B Arabic
Cost per Task
Estimated USD to finish one task
$0.06$0.05
Output Tokens / Task
Tokens generated per task
18K20K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureAya Vision 8BCommand R7B Arabic
Official API Model ID (SDK)aya-vision-8bcommand-r7b-arabic
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2025-032025-02
Knowledge CutoffJanuary 2025December 2024
ArchitectureMultilingual Vision-Language TransformerArabic-Specialized RAG Transformer
Parameters8B7B
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 ($0.1/1M in) across full 16K windowFlat rate ($0.07/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.03/1M tokensCached input at $0.02/1M 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) · 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 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

Aya Vision 8B vs Command R7B Arabic: Risposte Rapide (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.

Verdetto

Sia Aya Vision 8B (Ideale per la traduzione multilingue ad alta precisione e la comunicazione aziendale globale, sistemi RAG aziendali e integrazioni API scalabili.) sia Command R7B Arabic (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Command R7B Arabic guida nei benchmark di ragionamento e programmazione, Command R7B Arabic garantisce una generazione più rapida e Command R7B Arabic offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Aya Vision 8B o Command R7B Arabic?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Command R7B Arabic. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Aya Vision 8B e Command R7B Arabic?+

Aya Vision 8B costa $0.10 / $0.25 per milione di token di input/output, mentre Command R7B Arabic costa $0.07 / $0.20. Nel costo combinato, Command R7B Arabic risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Aya Vision 8B supporta 16K token di contesto contro 128K token di Command R7B Arabic, mentre Command R7B Arabic offre una velocità di generazione superiore.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

Fonti ufficiali: Documentazione API ufficiale di Cohere e Cohere, schede di sistema e benchmark indipendenti (2026).