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 by Cohere and Command R+ 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, Aya Expanse 8B holds a notable pricing advantage for token ingestion. On output generation, Aya Expanse 8B is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Command R+ provides an expanded memory horizon with 128K tokens. In latency-sensitive production environments, Aya Expanse 8B 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.

Comparación Directa (VS)

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Cohere

Aya Expanse 8B

Multilingüe

compacto abierto multilingüe modelo meticulosamente trained un través de 23 idiomas, bridging idioma divides en bajo-resource linguistic environments.

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+

Buque insignia RAG

de Cohere 104-miles de millones parámetro insignia construido para complejo empresarial búsqueda, multipaso uso de herramientas, y verified citations un través de 128K contexto.

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

  • diseñado específicamente dataset covering 23 diverse idiomas con superior cultural contexto
  • ligero 8B huella running smoothly en consumidor y laptop GPUs
  • sólido multilingüe traducción y cross-lingual texto resumen
Considerations & Trade-offs
  • ventana de contexto limitado un 8K tokens
  • menor capacidad en advanced codificación y competition mathematics

Command R+ · Strengths & Key Advantages

  • inigualable multipaso empresarial llamada un herramientas y verified citas precisión
  • nativo multilingüe proficiency un través de 10 major global business idiomas
  • de pesos abiertos available para en-premise air-gapped soberano implementación
Considerations & Trade-offs
  • sustancial compute requirements (104B parámetros) para autohospedado clústeres
  • API token precio ($2.50/$10.00) es mayor que ligero RAG alternatives

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

Verdict & Model Selection Recommendation: Choose Aya Expanse 8B if your priority is Multilingual customer interaction, low-resource language translation, and edge deployments. Its performance in demanding tasks justifies its operational token cost. Choose Command R+ if your workflow prioritizes Enterprise knowledge hubs, mission-critical legal document search, and corporate workflows. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.

Preguntas frecuentes

How does Aya Expanse 8B compare to Command R+ in API token pricing and cost per token?+

Aya Expanse 8B costs $0.08 per 1M input tokens and $0.16 per 1M output tokens, whereas Command R+ costs $2.50 input and $10.00 output. Overall, Aya Expanse 8B 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 Expanse 8B or Command R+?+

Aya Expanse 8B supports a context window of 8K tokens (~6k words), while Command R+ supports 128K tokens (~96k words). Therefore, Command R+ can process more textual data and document context in a single prompt.

Which AI model is better for software engineering and coding: Aya Expanse 8B or Command R+?+

Aya Expanse 8B scores 24% on SWE-bench Verified while Command R+ scores 41.5%. For autonomous software engineering and multi-file debugging, Command R+ holds the verified benchmark lead.

What is the difference in reasoning capability and extended thinking between Aya Expanse 8B and Command R+?+

Aya Expanse 8B is optimized for low-latency direct generation. In contrast, Command R+ focuses on standard fast inference.

How does inference speed (tokens per second) compare between Aya Expanse 8B and Command R+?+

Aya Expanse 8B generates approximately 135 tokens per second, while Command R+ delivers 65 tokens per second. In latency-sensitive production environments, Aya Expanse 8B provides faster time-to-first-token (TTFT) and higher streaming response velocity.

Can you implement a tiered LLM routing setup combining Aya Expanse 8B and Command R+ to optimize costs?+

Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Aya Expanse 8B to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Command R+. This tiered routing pattern cuts overall API bills by up to 70%.

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: GetInfoUs Independent AI Benchmarks & Official API Specs