Head-to-Head Model Comparison

Aya Expanse 8B vs Command R+

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Aya Expanse 8BProfile

Command R+Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Cohere

Aya Expanse 8B

Modello Multilingue Globale

Aya Expanse 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 8K, velocità di 135 token/s, indice di intelligenza di 36/100 e tariff

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+

Modello Base a Pesi Aperti

Command R+ 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 65 token/s, indice di intelligenza di 48/100 e tar

Intelligence Index48 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

41.5%

Differenze Chiave a Colpo d’Occhio

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 →

Feature	Aya Expanse 8B	Command R+
Intelligence Index Composite reasoning & knowledge score (0-100)	36	48
Provider	Cohere	Cohere
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 text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	4K	8K
Throughput Speed Tokens generated per second	135 tok/s	65 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

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Command R+

+17.5% SWE-bench lead

Cost

Aya Expanse 8B

47.2x cheaper monthly runtime

Speed

Aya Expanse 8B

+108% faster generation

Context

Command R+

128K tokens window

Punteggi Benchmark Verificati

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

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 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

Simulatore Interattivo dei Costi Token

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 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

Finestra di contesto da 8K con capacità massima di output fino a 4K token (SWE-bench Verified 24% · GPQA Diamond 40%)
Throughput elevato di 135 token/secondo con latenza al primo token (TTFT) di soli 300 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 R+ · Strengths & Key Advantages

Finestra di contesto da 128K con capacità massima di output fino a 8K token (SWE-bench Verified 41.5% · GPQA Diamond 56.5%)
Throughput elevato di 65 token/secondo con latenza al primo token (TTFT) di soli 580 ms
Pesi aperti (104B) 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
Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

Token Use & Task Economics

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

Metric	Aya Expanse 8B	Command R+
Cost per Task Estimated USD to finish one task	$0.04	$0.65
Output Tokens / Task Tokens generated per task	18K	35K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	Aya Expanse 8B	Command R+
Official API Model ID (SDK)	aya-expanse-8b	command-r-plus
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2024-10	2024-08
Knowledge Cutoff	August 2024	June 2024
Architecture	Compact Multilingual Dense Transformer	Enterprise-Grade Dense Transformer
Parameters	8B	104B
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 ($0.08/1M in) across full 8K window	Flat rate ($2.5/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.02/1M tokens	Cached input at $0.75/1M 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)	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) · 64 GB VRAM (4-bit Quantized) · 224 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	text
Output Modalities	text	text

Aya Expanse 8B vs Command R+: Risposte Rapide (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.

Verdetto

Sia Aya Expanse 8B (Ideale per la traduzione multilingue ad alta precisione e la comunicazione aziendale globale, sistemi RAG aziendali e integrazioni API scalabili.) sia Command R+ (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 R+ guida nei benchmark di ragionamento e programmazione, Aya Expanse 8B garantisce una generazione più rapida e Aya Expanse 8B offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Aya Expanse 8B o Command R+?+

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

Qual è la differenza di prezzo API tra Aya Expanse 8B e Command R+?+

Aya Expanse 8B costa $0.08 / $0.16 per milione di token di input/output, mentre Command R+ costa $2.50 / $10.00. Nel costo combinato, Aya Expanse 8B risulta più economico.

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

Aya Expanse 8B supporta 8.2K token di contesto contro 128K token di Command R+, mentre Aya Expanse 8B 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Aya Expanse 8B vs Command R+

Cambia e Confronta Qualsiasi Modello

Aya Expanse 8B

Command R+

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Aya Expanse 8B · Strengths & Key Advantages

Considerations & Trade-offs

Command R+ · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Aya Expanse 8B vs Command R+: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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