Head-to-Head Model Comparison

Aya Vision 8B vs Mistral Small 3

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 Vision 8B vs Mistral Small 3: Benchmarks, Pricing & Speed Comparison

Aya Vision 8B de Cohere y Mistral Small 3 de Mistral AI compiten directamente en el ecosistema actual de IA. Aya Vision 8B ofrece una ventana de contexto de 16K tokens a $0.10/$0.25 por millón de tokens (entrada/salida), mientras que Mistral Small 3 ofrece 32K tokens de contexto a $0.10/$0.30 por millón de tokens. Analizamos sus benchmarks, latencia y costos reales.

Comparación Directa (VS)

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Cohere

Aya Vision 8B

Modelo Multilingüe Global

Aya Vision 8B de Cohere es un modelo de IA diseñado para traducción multilingüe, comprensión intercultural y flujos de trabajo globales, con ventana de contexto de 16K, velocidad de 110 tokens/s, índice de inteligencia de 38/100 y tarifa de

Intelligence Index38 / 100
Input Token:

$0.10 / 1M

Output Token:

$0.25 / 1M

Context Window:

16K tokens

SWE-bench Verified:

22%

Mistral AI

Mistral Small 3

Modelo Base de Pesos Abiertos

Mistral Small 3 de Mistral AI es un modelo de IA diseñado para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, con ventana de contexto de 32K, velocidad de 105 tokens/s, índice de inteligencia de 41/10

Intelligence Index41 / 100
Input Token:

$0.10 / 1M

Output Token:

$0.30 / 1M

Context Window:

32K tokens

SWE-bench Verified:

31.5%

Diferencias Clave de un Vistazo

  • Aya Vision 8B is 1.2x cheaper for API usage (input + output tokens combined).
  • Mistral Small 3 has a larger context window (32K vs 16K tokens).
  • Aya Vision 8B is faster at 110 tok/s vs 105 tok/s.
  • Mistral Small 3 leads on SWE-bench coding (31.5% vs 22.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaAya Vision 8BMistral Small 3
Intelligence Index
Composite reasoning & knowledge score (0-100)
3841
Provider
CohereMistral AI
Input Price
Cost per million input tokens
$0.10 / 1M$0.10 / 1M
Output Price
Cost per million output tokens
$0.25 / 1M$0.30 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.07 / 1M$0.09 / 1M
Context Window
Maximum input + output tokens
16K tokens~24 A4 pages of text32K tokens~48 A4 pages of text
Max Output Tokens
Per single request
4K8K
Throughput Speed
Tokens generated per second
110 tok/s105 tok/s
SWE-bench Verified
Real-world software engineering
22%31.5%
GPQA Diamond
Graduate-level reasoning
41%46.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.03 / 1M$0.05 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
Mistral Small 3
+9.5% SWE-bench lead
Costo
Aya Vision 8B
1.2x cheaper monthly runtime
Velocidad
Aya Vision 8B
+5% faster generation
Contexto
Mistral Small 3
32K tokens window

Puntuaciones de Benchmarks Verificadas

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

Aya Vision 8BMistral Small 3
SWE-bench Verified (Autonomous Coding)

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

22%vs31.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

41%vs46.5%
MMLU-Pro (Multi-task Language Understanding)

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

64%vs70.2%
LMSYS Chatbot Arena Elo

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

1220ptsvs1238pts
Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs27%
AIME (Advanced Math Competition)

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

N/Avs52%
Long-Context Reasoning

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

N/Avs64%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

110 tok/s vs105 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 Vision 8B0.35s
Mistral Small 30.38s
Est. End-to-End Response (500 tokens)TTFT + generation time
Aya Vision 8B4.90s
Mistral Small 35.14s

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 Vision 8B Monthly API Bill
$0.42 / month
$0.1/1M in · $0.25/1M out
Mistral Small 3 Monthly API Bill
$0.50 / month
$0.1/1M in · $0.3/1M out
Aya Vision 8B saves approximately $0.08 / month (15%) under this workload.1.2x Savings

Aya Vision 8B · Strengths & Key Advantages

  • Ventana de contexto de 16K con hasta 4K tokens de salida máxima (SWE-bench Verified 22% · GPQA Diamond 41%)
  • Rendimiento ágil de 110 tokens/segundo con latencia inicial (TTFT) de solo 350 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

Mistral Small 3 · Strengths & Key Advantages

  • Ventana de contexto de 32K con hasta 8K tokens de salida máxima (SWE-bench Verified 31.5% · GPQA Diamond 46.5%)
  • Rendimiento ágil de 105 tokens/segundo con latencia inicial (TTFT) de solo 380 ms
  • Pesos abiertos (24B) 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

Token Use & Task Economics

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

MetricAya Vision 8BMistral Small 3
Cost per Task
Estimated USD to finish one task
$0.06$0.08
Output Tokens / Task
Tokens generated per task
18K25K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaAya Vision 8BMistral Small 3
Official API Model ID (SDK)aya-vision-8bmistral-small-3-latest
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2025-032025-01
Knowledge CutoffJanuary 2025December 2024
ArchitectureMultilingual Vision-Language TransformerCompact Dense Transformer
Parameters8B24B
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 ($0.1/1M in) across full 16K windowFlat rate ($0.1/1M in) across full 32K window
Prompt Cache Policy & TTLCached input at $0.03/1M tokensCached input at $0.05/1M 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)
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) · 15 GB VRAM (4-bit Quantized) · 52 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
Output Modalitiestexttext

Aya Vision 8B vs Mistral Small 3: Respuestas Rápidas (FAQ)

Which is more intelligent, Aya Vision 8B or Mistral Small 3?

Mistral Small 3 is more intelligent. It scores 41 compared with 38 on the composite Intelligence Index.

Which model is faster?

Aya Vision 8B is faster, generating 110 tokens per second compared with 105 tokens per second.

Which model is cheaper to run?

Aya Vision 8B is cheaper at $0.07 per 1M tokens blended, compared with $0.09 (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 0.38s.

Which model has a larger context window?

Mistral Small 3 has a larger context window, supporting 32K tokens compared with 16K tokens.

Veredicto

Tanto Aya Vision 8B (Ideal para traducción multilingüe, comprensión intercultural y flujos de trabajo globales, sistemas RAG empresariales y automatización mediante API.) como Mistral Small 3 (Ideal para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Mistral Small 3 lidera en inteligencia general y programación, Aya Vision 8B ofrece mayor velocidad de generación de tokens y Aya Vision 8B resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Aya Vision 8B o Mistral Small 3?+

En las pruebas de inteligencia compuesta y resolución de código, Mistral Small 3 obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Aya Vision 8B frente a Mistral Small 3?+

Aya Vision 8B cuesta $0.10 / $0.25 por millón de tokens de entrada/salida, mientras que Mistral Small 3 cuesta $0.10 / $0.30. En costo combinado, Aya Vision 8B es la opción más económica.

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

Aya Vision 8B cuenta con 16K tokens de contexto frente a 32K tokens de Mistral Small 3. En velocidad de inferencia, Aya Vision 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 Mistral AI, tarjetas de sistema y benchmarks independientes (2026).