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Head-to-Head Model Comparison

Kimi K3 vs Aya Expanse 8B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책
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Moonshot AICohereflagshipopen-source

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

1:1 모델 맞대결 비교 (VS)

원하는 AI 모델 선택 및 실시간 비교

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

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

Popular Matchups:
Moonshot AI

Kimi K3

오픈 웨이트 모델

Moonshot AI의 Kimi K3 모델은 1.0M 토큰 컨텍스트 윈도우와 입력 $0/1M 토큰, 출력 $0/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.

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

오픈 웨이트 모델

Cohere의 Aya Expanse 8B 모델은 8K 토큰 컨텍스트 윈도우와 입력 $0.08/1M 토큰, 출력 $0.16/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.

Intelligence Index36 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.16 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

24%

한눈에 보는 핵심 차이점

  • 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 →
FeatureKimi 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

부문별 우위 모델

At-a-glance decision framework
Coding
Kimi K3
+50.5% SWE-bench lead
Cost
Kimi K3
1.0x cheaper monthly runtime
Speed
Aya Expanse 8B
+133% faster generation
Context
Kimi K3
1.05M tokens window

검증된 벤치마크 점수 비교

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

지연 시간(Latency) 및 응답 속도

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

실시간 API 토큰 비용 시뮬레이터

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

  • Moonshot AI의 첨단 Colossus-Scale Multimodal Sparse Mixture-of-Experts 아키텍처와 최대 1.0M 토큰 컨텍스트 지원
  • 경쟁력 있는 API 가격(입력 $0/1M, 출력 $0/1M)과 빠른 응답 속도
  • 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
  • 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
  • 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨

Aya Expanse 8B · Strengths & Key Advantages

  • Cohere의 첨단 Compact Multilingual Dense Transformer 아키텍처와 최대 8K 토큰 컨텍스트 지원
  • 경쟁력 있는 API 가격(입력 $0.08/1M, 출력 $0.16/1M)과 빠른 응답 속도
  • 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
  • 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
  • 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨

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

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

FeatureKimi 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: 핵심 요약 문답 (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.

종합 평가

Choose Kimi K3 for 기업 업무 자동화, 소프트웨어 개발, 자율형 ai 에이전트 및 moonshot ai 기반 프로덕션 파이프라인, or choose Aya Expanse 8B for 기업 업무 자동화, 소프트웨어 개발, 자율형 ai 에이전트 및 cohere 기반 프로덕션 파이프라인.

자주 묻는 질문 (FAQ)

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

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.

공식 출처: Moonshot AI & Cohere Official Documentation