Head-to-Head Model Comparison

Aya Expanse 8B vs Command R+

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Aya Expanse 8B vs Command R+: Benchmarks, Pricing & Speed Comparison

Aya Expanse 8B de Cohere y Command R+ de Cohere compiten directamente en el ecosistema actual de IA. Aya Expanse 8B ofrece una ventana de contexto de 8.2K tokens a $0.08/$0.16 por millón de tokens (entrada/salida), mientras que Command R+ ofrece 128K tokens de contexto a $2.50/$10.00 por millón de tokens. Analizamos sus benchmarks, latencia y costos reales.

Comparación Directa (VS)

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Cohere

Aya Expanse 8B

Modelo Multilingüe Global

Aya Expanse 8B de Cohere es un modelo de IA diseñado para traducción multilingüe, comprensión intercultural y flujos de trabajo globales, con ventana de contexto de 8K, velocidad de 135 tokens/s, índice de inteligencia de 36/100 y tarifa de

Intelligence Index36 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.16 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

24%

Cohere

Command R+

Modelo Base de Pesos Abiertos

Command R+ de Cohere es un modelo de IA diseñado para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, con ventana de contexto de 128K, velocidad de 65 tokens/s, índice de inteligencia de 48/100 y tarif

Intelligence Index48 / 100
Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

41.5%

Diferencias Clave de un Vistazo

  • Aya Expanse 8B is 47.2x cheaper for API usage (input + output tokens combined).
  • Command R+ has a larger context window (128K vs 8K tokens).
  • Aya Expanse 8B is faster at 135 tok/s vs 65 tok/s.
  • Command R+ leads on SWE-bench coding (41.5% vs 24.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaAya Expanse 8BCommand R+
Intelligence Index
Composite reasoning & knowledge score (0-100)
3648
Provider
CohereCohere
Input Price
Cost per million input tokens
$0.08 / 1M$2.50 / 1M
Output Price
Cost per million output tokens
$0.16 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.05 / 1M$2.02 / 1M
Context Window
Maximum input + output tokens
8.2K tokens~12 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
4K8K
Throughput Speed
Tokens generated per second
135 tok/s65 tok/s
SWE-bench Verified
Real-world software engineering
24%41.5%
GPQA Diamond
Graduate-level reasoning
40%56.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.02 / 1M$0.75 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
Command R+
+17.5% SWE-bench lead
Costo
Aya Expanse 8B
47.2x cheaper monthly runtime
Velocidad
Aya Expanse 8B
+108% faster generation
Contexto
Command R+
128K tokens window

Puntuaciones de Benchmarks Verificadas

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

Aya Expanse 8BCommand R+
SWE-bench Verified (Autonomous Coding)

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

24%vs41.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

40%vs56.5%
MMLU-Pro (Multi-task Language Understanding)

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

62%vs78.5%
LMSYS Chatbot Arena Elo

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

1205ptsvs1300pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs36%
AIME (Advanced Math Competition)

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

N/Avs66%
Long-Context Reasoning

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

N/Avs80%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 tok/s vs65 tok/s

Latencia y Tiempo de Respuesta

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 Expanse 8B0.30s
Command R+0.58s
Est. End-to-End Response (500 tokens)TTFT + generation time
Aya Expanse 8B4.00s
Command R+8.27s

Simulador Interactivo de Costos de Tokens

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 Expanse 8B Monthly API Bill
$0.29 / month
$0.08/1M in · $0.16/1M out
Command R+ Monthly API Bill
$13.88 / month
$2.5/1M in · $10/1M out
Aya Expanse 8B saves approximately $13.58 / month (98%) under this workload.47.2x Savings

Aya Expanse 8B · Strengths & Key Advantages

  • Ventana de contexto de 8K con hasta 4K tokens de salida máxima (SWE-bench Verified 24% · GPQA Diamond 40%)
  • Rendimiento ágil de 135 tokens/segundo con latencia inicial (TTFT) de solo 300 ms
  • Pesos abiertos (8B) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama
Considerations & Trade-offs
  • Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
  • En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Command R+ · Strengths & Key Advantages

  • Ventana de contexto de 128K con hasta 8K tokens de salida máxima (SWE-bench Verified 41.5% · GPQA Diamond 56.5%)
  • Rendimiento ágil de 65 tokens/segundo con latencia inicial (TTFT) de solo 580 ms
  • Pesos abiertos (104B) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama
Considerations & Trade-offs
  • Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
  • En volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos

Token Use & Task Economics

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

MetricAya Expanse 8BCommand R+
Cost per Task
Estimated USD to finish one task
$0.04$0.65
Output Tokens / Task
Tokens generated per task
18K35K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaAya Expanse 8BCommand R+
Official API Model ID (SDK)aya-expanse-8bcommand-r-plus
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2024-102024-08
Knowledge CutoffAugust 2024June 2024
ArchitectureCompact Multilingual Dense TransformerEnterprise-Grade Dense Transformer
Parameters8B104B
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 ($0.08/1M in) across full 8K windowFlat rate ($2.5/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.02/1M tokensCached input at $0.75/1M 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)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) · 64 GB VRAM (4-bit Quantized) · 224 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 Modalitiestexttext
Output Modalitiestexttext

Aya Expanse 8B vs Command R+: Respuestas Rápidas (FAQ)

Which is more intelligent, Aya Expanse 8B or Command R+?

Command R+ is more intelligent. It scores 48 compared with 36 on the composite Intelligence Index.

Which model is faster?

Aya Expanse 8B is faster, generating 135 tokens per second compared with 65 tokens per second.

Which model is cheaper to run?

Aya Expanse 8B is cheaper at $0.05 per 1M tokens blended, compared with $2.02 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Aya Expanse 8B has lower latency, with a time to first token of 0.30s compared with 0.58s.

Which model has a larger context window?

Command R+ has a larger context window, supporting 128K tokens compared with 8.2K tokens.

Veredicto

Tanto Aya Expanse 8B (Ideal para traducción multilingüe, comprensión intercultural y flujos de trabajo globales, sistemas RAG empresariales y automatización mediante API.) como Command R+ (Ideal para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Command R+ lidera en inteligencia general y programación, Aya Expanse 8B ofrece mayor velocidad de generación de tokens y Aya Expanse 8B resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Aya Expanse 8B o Command R+?+

En las pruebas de inteligencia compuesta y resolución de código, Command R+ obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Aya Expanse 8B frente a Command R+?+

Aya Expanse 8B cuesta $0.08 / $0.16 por millón de tokens de entrada/salida, mientras que Command R+ cuesta $2.50 / $10.00. En costo combinado, Aya Expanse 8B es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Aya Expanse 8B cuenta con 8.2K tokens de contexto frente a 128K tokens de Command R+. En velocidad de inferencia, Aya Expanse 8B ofrece un rendimiento superior.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.

Fuentes: Documentación oficial de API de Cohere y Cohere, tarjetas de sistema y benchmarks independientes (2026).