Aya Vision 8B vs Command R7B Arabic
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Aya Vision 8B by Cohere and Command R7B Arabic by Cohere represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Command R7B Arabic holds a notable pricing advantage for token ingestion. On output generation, Command R7B Arabic is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Command R7B Arabic provides an expanded memory horizon with 128K tokens. In latency-sensitive production environments, Command R7B Arabic leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
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Aya Vision 8B
Открытые веса (Open Weights)Aya Vision 8B от Cohere — передовая модель искусственного интеллекта с контекстным окном 16K токенов и стоимостью API $0.1/1M входящих и $0.25/1M исходящих токенов для программирования, аналитики и автоматизации.
$0.10 / 1M
$0.25 / 1M
16K tokens
22%
Command R7B Arabic
Открытые веса (Open Weights)Command R7B Arabic от Cohere — передовая модель искусственного интеллекта с контекстным окном 128K токенов и стоимостью API $0.07/1M входящих и $0.2/1M исходящих токенов для программирования, аналитики и автоматизации.
$0.07 / 1M
$0.20 / 1M
128K tokens
26%
Ключевые отличия кратко
- 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%).
| 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 |
Кто лидирует в каждой категории?
At-a-glance decision frameworkРезультаты проверенных бенчмарков
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Задержка и скорость ответа
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Интерактивный калькулятор стоимости токенов
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Aya Vision 8B · Strengths & Key Advantages
- Современная архитектура Multilingual Vision-Language Transformer от Cohere с поддержкой до 16K токенов контекста
- Оптимальная стоимость использования ($0.1/1M вход, $0.25/1M выход) и высокая скорость генерации
- Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
- При работе с максимальным контекстом требуется контроль расхода токенов
- Для узкоспециализированных задач рекомендуется точная настройка системных промптов
Command R7B Arabic · Strengths & Key Advantages
- Современная архитектура Arabic-Specialized RAG Transformer от Cohere с поддержкой до 128K токенов контекста
- Оптимальная стоимость использования ($0.07/1M вход, $0.2/1M выход) и высокая скорость генерации
- Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
- При работе с максимальным контекстом требуется контроль расхода токенов
- Для узкоспециализированных задач рекомендуется точная настройка системных промптов
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 |
Технические характеристики
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: Быстрые ответы (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.
Вердикт
Verdict & Model Selection Recommendation: Choose Aya Vision 8B if your priority is Global document triage, multilingual receipt and invoice OCR, and mobile visual apps. Its performance in demanding tasks justifies its operational token cost. Choose Command R7B Arabic if your workflow prioritizes Middle Eastern government digitization, Arabic enterprise search, and regional customer support. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
Часто задаваемые вопросы (FAQ)
How does Aya Vision 8B compare to Command R7B Arabic in API token pricing and cost per token?+
Aya Vision 8B costs $0.10 per 1M input tokens and $0.25 per 1M output tokens, whereas Command R7B Arabic costs $0.07 input and $0.20 output. Overall, Command R7B Arabic is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: Aya Vision 8B or Command R7B Arabic?+
Aya Vision 8B supports a context window of 16K tokens (~12k words), while Command R7B Arabic supports 128K tokens (~96k words). Therefore, Command R7B Arabic can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Aya Vision 8B or Command R7B Arabic?+
Aya Vision 8B scores 22% on SWE-bench Verified while Command R7B Arabic scores 26%. For autonomous software engineering and multi-file debugging, Command R7B Arabic holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between Aya Vision 8B and Command R7B Arabic?+
Aya Vision 8B is optimized for low-latency direct generation. In contrast, Command R7B Arabic focuses on standard fast inference.
How does inference speed (tokens per second) compare between Aya Vision 8B and Command R7B Arabic?+
Aya Vision 8B generates approximately 110 tokens per second, while Command R7B Arabic delivers 135 tokens per second. In latency-sensitive production environments, Command R7B Arabic provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Aya Vision 8B and Command R7B Arabic to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Command R7B Arabic to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Aya Vision 8B. This tiered routing pattern cuts overall API bills by up to 70%.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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.
Официальные источники: GetInfoUs Independent AI Benchmarks & Official API Specs