GetInfoUs
Head-to-Head Model Comparison

Aya Vision 32B vs Aya Vision 8B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
Condividi
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Aya Vision 32B vs Aya Vision 8B: Benchmarks, Pricing & Speed Comparison

Aya Vision 32B di Cohere e Aya Vision 8B di Cohere sono due modelli di IA di riferimento. Aya Vision 32B offre una finestra di contesto di 16K token a $0.35/$0.80 per milione di token, mentre Aya Vision 8B mette a disposizione 16K token di contesto a $0.10/$0.25 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

Cambia e Confronta Qualsiasi Modello

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

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
Cohere

Aya Vision 32B

Modello Multilingue Globale

Aya Vision 32B 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 75 token/s, indice di intelligenza di 45/100 e tariff

Intelligence Index45 / 100
Input Token:

$0.35 / 1M

Output Token:

$0.80 / 1M

Context Window:

16K tokens

SWE-bench Verified:

32%

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%

Differenze Chiave a Colpo d’Occhio

  • Aya Vision 8B is 3.2x cheaper for API usage (input + output tokens combined).
  • Aya Vision 8B is faster at 110 tok/s vs 75 tok/s.
  • Aya Vision 32B leads on SWE-bench coding (32.0% vs 22.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAya Vision 32BAya Vision 8B
Intelligence Index
Composite reasoning & knowledge score (0-100)
4538
Provider
CohereCohere
Input Price
Cost per million input tokens
$0.35 / 1M$0.10 / 1M
Output Price
Cost per million output tokens
$0.80 / 1M$0.25 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.21 / 1M$0.07 / 1M
Context Window
Maximum input + output tokens
16K tokens~24 A4 pages of text16K tokens~24 A4 pages of text
Max Output Tokens
Per single request
4K4K
Throughput Speed
Tokens generated per second
75 tok/s110 tok/s
SWE-bench Verified
Real-world software engineering
32%22%
GPQA Diamond
Graduate-level reasoning
51.5%41%
Cached Input Price
Prompt caching discount per 1M tokens
$0.08 / 1M$0.03 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding
Aya Vision 32B
+10.0% SWE-bench lead
Cost
Aya Vision 8B
3.2x cheaper monthly runtime
Speed
Aya Vision 8B
+47% faster generation
Context
Tied
16K tokens window

Punteggi Benchmark Verificati

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

Aya Vision 32BAya Vision 8B
SWE-bench Verified (Autonomous Coding)

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

32%vs22%
GPQA Diamond (Doctorate-Level Science & Math)

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

51.5%vs41%
MMLU-Pro (Multi-task Language Understanding)

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

74%vs64%
LMSYS Chatbot Arena Elo

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

1280ptsvs1220pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs110 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 32B0.48s
Aya Vision 8B0.35s
Est. End-to-End Response (500 tokens)TTFT + generation time
Aya Vision 32B7.15s
Aya Vision 8B4.90s

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 32B Monthly API Bill
$1.36 / month
$0.35/1M in · $0.8/1M out
Aya Vision 8B Monthly API Bill
$0.42 / month
$0.1/1M in · $0.25/1M out
Aya Vision 8B saves approximately $0.94 / month (69%) under this workload.3.2x Savings

Aya Vision 32B · Strengths & Key Advantages

  • Finestra di contesto da 16K con capacità massima di output fino a 4K token (SWE-bench Verified 32% · GPQA Diamond 51.5%)
  • Throughput elevato di 75 token/secondo con latenza al primo token (TTFT) di soli 480 ms
  • Pesi aperti (32B) 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

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

Token Use & Task Economics

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

MetricAya Vision 32BAya Vision 8B
Cost per Task
Estimated USD to finish one task
$0.22$0.06
Output Tokens / Task
Tokens generated per task
25K18K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureAya Vision 32BAya Vision 8B
Official API Model ID (SDK)aya-vision-32baya-vision-8b
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2025-032025-03
Knowledge CutoffJanuary 2025January 2025
ArchitectureHigh-Capacity Multilingual VLMMultilingual Vision-Language Transformer
Parameters32B8B
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 ($0.35/1M in) across full 16K windowFlat rate ($0.1/1M in) across full 16K window
Prompt Cache Policy & TTLCached input at $0.08/1M tokensCached input at $0.03/1M 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) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAMBF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 20 GB VRAM (4-bit Quantized) · 69 GB VRAM (Native BF16)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 5 GB VRAM (4-bit Quantized) · 17 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, vision
Output Modalitiestexttext

Aya Vision 32B vs Aya Vision 8B: Risposte Rapide (FAQ)

Which is more intelligent, Aya Vision 32B or Aya Vision 8B?

Aya Vision 32B is more intelligent. It scores 45 compared with 38 on the composite Intelligence Index.

Which model is faster?

Aya Vision 8B is faster, generating 110 tokens per second compared with 75 tokens per second.

Which model is cheaper to run?

Aya Vision 8B is cheaper at $0.07 per 1M tokens blended, compared with $0.21 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Aya Vision 8B has lower latency, with a time to first token of 0.35s compared with 0.48s.

Verdetto

Sia Aya Vision 32B (Ideale per la traduzione multilingue ad alta precisione e la comunicazione aziendale globale, sistemi RAG aziendali e integrazioni API scalabili.) sia Aya Vision 8B (Ideale per la traduzione multilingue ad alta precisione e la comunicazione aziendale globale, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Aya Vision 32B guida nei benchmark di ragionamento e programmazione, Aya Vision 8B garantisce una generazione più rapida e Aya Vision 8B offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Aya Vision 32B o Aya Vision 8B?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Aya Vision 32B. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Aya Vision 32B e Aya Vision 8B?+

Aya Vision 32B costa $0.35 / $0.80 per milione di token di input/output, mentre Aya Vision 8B costa $0.10 / $0.25. Nel costo combinato, Aya Vision 8B risulta più economico.

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

Aya Vision 32B supporta 16K token di contesto contro 16K token di Aya Vision 8B, mentre Aya Vision 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 & 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).