GetInfoUs
Head-to-Head Model Comparison

Kimi K3 vs Aya Expanse 8B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial
Compartir
Related topics (4)
Moonshot AICohereflagshipopen-source

Compare Kimi K3 by Moonshot AI against Aya Expanse 8B by Cohere across real-world coding, reasoning, token economics, and latency.

Comparación Directa (VS)

Cambia y Compara Cualquier Modelo

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

Live comparison: no in-depth editorial review has been published for this pair yet.

Popular Matchups:
Moonshot AI

Kimi K3

Razonador abierto de 2.8T

El gigante modelo MoE abierto de 2.8T de Moonshot AI con ventana de contexto de 1 millón de tokens y capacidades revolucionarias en codificación.

Intelligence Index93 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

74.5%

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%

Diferencias Clave de un Vistazo

  • Kimi K3 is 1.0x cheaper for API usage (input + output tokens combined).
  • Kimi K3 has a larger context window (1M vs 8K tokens).
  • Aya Expanse 8B is faster at 135 tok/s vs 58 tok/s.
  • Kimi K3 leads on SWE-bench coding (74.5% vs 24.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaKimi K3Aya Expanse 8B
Intelligence Index
Composite reasoning & knowledge score (0-100)
9336
Provider
Moonshot AICohere
Input Price
Cost per million input tokens
$0.00 / 1M$0.08 / 1M
Output Price
Cost per million output tokens
$0.00 / 1M$0.16 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.00 / 1M$0.05 / 1M
Context Window
Maximum input + output tokens
1.05M tokens~1,573 A4 pages of text8.2K tokens~12 A4 pages of text
Max Output Tokens
Per single request
131K4K
Throughput Speed
Tokens generated per second
58 tok/s135 tok/s
SWE-bench Verified
Real-world software engineering
74.5%24%
GPQA Diamond
Graduate-level reasoning
79%40%
Cached Input Price
Prompt caching discount per 1M tokens
$0.00 / 1M$0.02 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código
Kimi K3
+50.5% SWE-bench lead
Costo
Kimi K3
1.0x cheaper monthly runtime
Velocidad
Aya Expanse 8B
+133% faster generation
Contexto
Kimi K3
1.05M tokens window

Puntuaciones de Benchmarks Verificadas

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

Kimi K3Aya Expanse 8B
SWE-bench Verified (Autonomous Coding)

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

74.5%vs24%
GPQA Diamond (Doctorate-Level Science & Math)

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

79%vs40%
MMLU-Pro (Multi-task Language Understanding)

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

88.8%vs62%
LMSYS Chatbot Arena Elo

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

1480ptsvs1205pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

58 tok/s vs135 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
Kimi K30.72s
Aya Expanse 8B0.30s
Est. End-to-End Response (500 tokens)TTFT + generation time
Kimi K39.34s
Aya Expanse 8B4.00s

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)
Kimi K3 Monthly API Bill
$0.00 / month
$0/1M in · $0/1M out
Aya Expanse 8B Monthly API Bill
$0.29 / month
$0.08/1M in · $0.16/1M out
Kimi K3 saves approximately $0.29 / month (100%) under this workload.1.0x Savings

Kimi K3 · Strengths & Key Advantages

  • Largest de pesos abiertos modelo fundacional en existence (2.8T parámetros)
  • 1480 LMSYS Chatbot Arena Elo rivaling propietario cerrado de frontera leaders
  • completo 1M token ventana de contexto paired con masivo 131K max salida tokens
Considerations & Trade-offs
  • Extreme hardware prerequisites (distributed multinodo clúster implementación)
  • genera extensive razonamiento traces que demand careful token económico management

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

Token Use & Task Economics

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

MetricKimi K3Aya Expanse 8B
Cost per Task
Estimated USD to finish one task
$2.00$0.04
Output Tokens / Task
Tokens generated per task
35K18K
Reasoning Tokens / Task
Thinking tokens burned per task
18K0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaKimi K3Aya Expanse 8B
Official API Model ID (SDK)kimi-k3aya-expanse-8b
API ProtocolOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGIOpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2026-072024-10
Knowledge CutoffMarch 2026August 2024
ArchitectureColossus-Scale Multimodal Sparse Mixture-of-ExpertsCompact Multilingual Dense Transformer
Parameters2.8T total (MoE)8B
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)Free across full context window (only KV-cache VRAM scales)Flat rate ($0.08/1M in) across full 8K window
Prompt Cache Policy & TTLAutomatic prefix KV-caching in vLLM / SGLang (0 cost)Cached input at $0.02/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)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) · 1736 GB VRAM (4-bit Quantized) · 6020 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
Output Modalitiestexttext

Kimi K3 vs Aya Expanse 8B: Respuestas Rápidas (FAQ)

Which is more intelligent, Kimi K3 or Aya Expanse 8B?

Kimi K3 is more intelligent. It scores 93 compared with 36 on the composite Intelligence Index.

Which model is faster?

Aya Expanse 8B is faster, generating 135 tokens per second compared with 58 tokens per second.

Which model is cheaper to run?

Kimi K3 is cheaper at $0.00 per 1M tokens blended, compared with $0.05 (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 0.72s.

Which model has a larger context window?

Kimi K3 has a larger context window, supporting 1.05M tokens compared with 8.2K tokens.

Veredicto

Choose Kimi K3 for auditorías de código de contexto largo, análisis de repositorios completos y trabajo agéntico autónomo, or choose Aya Expanse 8B for multilingüe cliente interaction, bajo-resource idioma traducción, y perimetral implementaciones.

Preguntas frecuentes

Which is cheaper: Kimi K3 or Aya Expanse 8B?+

Kimi K3 costs $0/1M input and $0/1M output tokens, while Aya Expanse 8B costs $0.08/1M input and $0.16/1M output tokens.

Which model has a larger context window: Kimi K3 or Aya Expanse 8B?+

Kimi K3 supports 1.0M tokens whereas Aya Expanse 8B supports 8K tokens.

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

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: Moonshot AI & Cohere Official Documentation