Head-to-Head Model Comparison

Kimi K3 vs Aya Expanse 8B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Vérifié par l’équipe de recherche de GetInfoUsDernière révision : October 2026Politique éditoriale

Changez et Comparez les Modèles

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

Kimi K3Profile

Aya Expanse 8BProfile

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

Raisonneur open source de 2.8T

Le géant modèle MoE open source de 2,8T de Moonshot AI avec une fenêtre de contexte de 1 million de tokens et des capacités révolutionnaires de codage.

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

Multilingue

compact ouvert multilingue modèle méticuleusement trained à travers 23 langues, bridging langue divides dans faible-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%

Différences Clés en un Coup d’Œil

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 →

Caractéristique	Kimi K3	Aya Expanse 8B
Intelligence Index Composite reasoning & knowledge score (0-100)	93	36
Provider	Moonshot AI	Cohere
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 text	8.2K tokens~12 A4 pages of text
Max Output Tokens Per single request	131K	4K
Throughput Speed Tokens generated per second	58 tok/s	135 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

Qui gagne où ?

At-a-glance decision framework

Code

Kimi K3

+50.5% SWE-bench lead

Coût

Kimi K3

1.0x cheaper monthly runtime

Vitesse

Aya Expanse 8B

+133% faster generation

Contexte

Kimi K3

1.05M tokens window

Scores de Benchmarks Vérifiés

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

Latence et Temps de Réponse

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

Simulateur Interactif de Coût de Tokens

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)

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 à poids ouverts modèle de fondation dans existence (2.8T paramètres)
1480 LMSYS Chatbot Arena Elo rivaling propriétaire fermé de pointe leaders
complet 1M token fenêtre de contexte paired avec massif 131K max sortie tokens

Considerations & Trade-offs

Extreme matériel prerequisites (distributed multinœud cluster déploiement)
génère extensive raisonnement traces qui demand careful token économique management

Aya Expanse 8B · Strengths & Key Advantages

spécialement conçu dataset covering 23 diverse langues avec supérieur cultural contexte
léger 8B empreinte running smoothly sur grand public et laptop GPUs
solide multilingue traduction et cross-lingual texte résumé

Considerations & Trade-offs

fenêtre de contexte limité à 8K tokens
inférieur capacité sur advanced codage et competition mathematics

Token Use & Task Economics

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

Metric	Kimi K3	Aya Expanse 8B
Cost per Task Estimated USD to finish one task	$2.00	$0.04
Output Tokens / Task Tokens generated per task	35K	18K
Reasoning Tokens / Task Thinking tokens burned per task	18K	0K

Spécifications Techniques

Architecture, release timeline, capabilities, and modalities.

Caractéristique	Kimi K3	Aya Expanse 8B
Official API Model ID (SDK)	kimi-k3	aya-expanse-8b
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-07	2024-10
Knowledge Cutoff	March 2026	August 2024
Architecture	Colossus-Scale Multimodal Sparse Mixture-of-Experts	Compact Multilingual Dense Transformer
Parameters	2.8T 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 Cloud	Unlimited (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 & TTL	Automatic prefix KV-caching in vLLM / SGLang (0 cost)	Cached input at $0.02/1M tokens
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	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) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / 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 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, vision	text
Output Modalities	text	text

Kimi K3 vs Aya Expanse 8B: Réponses Rapides (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.

Verdict

Choose Kimi K3 for audits de bases de code à contexte long, analyse de dépôts complets et tâches agentiques autonomes, or choose Aya Expanse 8B for multilingue client interaction, faible-resource langue traduction, et périphérie déploiements.

Questions fréquentes

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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Kimi K3 vs Aya Expanse 8B

Changez et Comparez les Modèles

Kimi K3

Aya Expanse 8B

Qui gagne où ?

Scores de Benchmarks Vérifiés

Latence et Temps de Réponse

Simulateur Interactif de Coût de Tokens

Kimi K3 · Strengths & Key Advantages

Considerations & Trade-offs

Aya Expanse 8B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spécifications Techniques

Kimi K3 vs Aya Expanse 8B: Réponses Rapides (FAQ)

Verdict

Questions fréquentes

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