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Head-to-Head Model Comparison

GPT-1 vs Kimi K3

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Проверено исследовательской группой GetInfoUsПоследняя проверка: October 2026Редакционная политика
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Related topics (4)
OpenAIMoonshot AIhistoricalflagship

Compare GPT-1 by OpenAI against Kimi K3 by Moonshot AI across real-world coding, reasoning, token economics, and latency.

Прямое сравнение (VS)

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

Popular Matchups:
OpenAI

GPT-1

Базовая модель с открытыми весами

GPT-1 от OpenAI — специализированная ИИ-модель для самостоятельного развертывания на своих серверах, дообучения и суверенитета данных, обеспечивающая контекстное окно 1K, скорость 150 ток/с и индекс интеллекта 5/100 (бесплатным доступом к о

Intelligence Index5 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

512 tokens

SWE-bench Verified:

N/A

Moonshot AI

Kimi K3

Открытая логическая модель

Kimi K3 от Moonshot AI — специализированная ИИ-модель для цепочек рассуждений (Chain-of-Thought) с открытыми весами и высокой эффективностью, обеспечивающая контекстное окно 1.0M, скорость 58 ток/с и индекс интеллекта 93/100 (бесплатным дос

Intelligence Index93 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

74.5%

Ключевые отличия кратко

  • Both models cost the same under this workload — choose on capability, not price.
  • Kimi K3 has a larger context window (1M vs 1K tokens).
  • GPT-1 is faster at 150 tok/s vs 58 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT-1Kimi K3
Intelligence Index
Composite reasoning & knowledge score (0-100)
593
Provider
OpenAIMoonshot AI
Input Price
Cost per million input tokens
$0.00 / 1M$0.00 / 1M
Output Price
Cost per million output tokens
$0.00 / 1M$0.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.00 / 1M$0.00 / 1M
Context Window
Maximum input + output tokens
512 tokens~1 A4 pages of text1.05M tokens~1,573 A4 pages of text
Max Output Tokens
Per single request
1K131K
Throughput Speed
Tokens generated per second
150 tok/s58 tok/s
SWE-bench Verified
Real-world software engineering
N/A74.5%
GPQA Diamond
Graduate-level reasoning
N/A79%

Кто лидирует в каждой категории?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Tied
Identical monthly runtime cost
Speed
GPT-1
+159% faster generation
Context
Kimi K3
1.05M tokens window

Результаты проверенных бенчмарков

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

GPT-1Kimi K3
SWE-bench Verified (Autonomous Coding)

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

N/Avs74.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs79%
MMLU-Pro (Multi-task Language Understanding)

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

8.5%vs88.8%
LMSYS Chatbot Arena Elo

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

600ptsvs1480pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

150 tok/s vs58 tok/s

Задержка и скорость ответа

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
GPT-10.25s
Kimi K30.72s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-13.58s
Kimi K39.34s

Интерактивный калькулятор стоимости токенов

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)
GPT-1 Monthly API Bill
$0.00 / month
$0/1M in · $0/1M out
Kimi K3 Monthly API Bill
$0.00 / month
$0/1M in · $0/1M out
These models cost the same under this workload — no savings either way.Break-even

GPT-1 · Strengths & Key Advantages

  • Контекстное окно 1K и генерация до 1K выходных токенов за ответ (MMLU-Pro 8.5% · Arena Elo 600)
  • Высокая скорость генерации 150 токенов/сек при задержке до первого токена (TTFT) всего 250 мс
  • Открытые веса модели (117M) для локального хостинга и дообучения через vLLM, SGLang или Ollama
Considerations & Trade-offs
  • Для локального запуска в полной точности требуются GPU-серверы с достаточным объемом видеопамяти (VRAM)
  • В сверхсложных научных доказательствах специализированные тяжелые модели рассуждения могут показывать большую глубину

Kimi K3 · Strengths & Key Advantages

  • Контекстное окно 1.0M и генерация до 131K выходных токенов за ответ (SWE-bench Verified 74.5% · GPQA Diamond 79%)
  • Высокая скорость генерации 58 токенов/сек при задержке до первого токена (TTFT) всего 720 мс
  • Открытые веса модели (2.8T total (MoE)) для локального хостинга и дообучения через vLLM, SGLang или Ollama
Considerations & Trade-offs
  • Для локального запуска в полной точности требуются GPU-серверы с достаточным объемом видеопамяти (VRAM)
  • В сверхсложных научных доказательствах специализированные тяжелые модели рассуждения могут показывать большую глубину

Token Use & Task Economics

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

MetricGPT-1Kimi K3
Cost per Task
Estimated USD to finish one task
$0.20$2.00
Output Tokens / Task
Tokens generated per task
24K35K
Reasoning Tokens / Task
Thinking tokens burned per task
0K18K

Технические характеристики

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-1Kimi K3
Official API Model ID (SDK)gpt-1kimi-k3
API ProtocolOpenAI Responses API & Chat Completions v1OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2018-062026-07
Knowledge Cutoff2018March 2026
Architecture12-layer Decoder TransformerColossus-Scale Multimodal Sparse Mixture-of-Experts
Parameters117M2.8T total (MoE)
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)Free across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTLAutomatic prefix KV-caching in vLLM / SGLang (0 cost)Automatic prefix KV-caching in vLLM / SGLang (0 cost)
Computer Use / GUI AgentText-only completion (No GUI action loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingPrompt-based JSON extraction onlyNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGSupported 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)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) · 2 GB VRAM (4-bit Quantized) · 4 GB VRAM (Native BF16)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 1736 GB VRAM (4-bit Quantized) · 6020 GB VRAM (Native BF16)
Safety & Frontier ClassificationOpenAI Preparedness Framework Audited & System Card PublishedOpen-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 Modalitiestexttext, vision
Output Modalitiestexttext

GPT-1 vs Kimi K3: Быстрые ответы (FAQ)

Which is more intelligent, GPT-1 or Kimi K3?

Kimi K3 is more intelligent. It scores 93 compared with 5 on the composite Intelligence Index.

Which model is faster?

GPT-1 is faster, generating 150 tokens per second compared with 58 tokens per second.

Which model has lower latency?

GPT-1 has lower latency, with a time to first token of 0.25s compared with 0.72s.

Which model has a larger context window?

Kimi K3 has a larger context window, supporting 1.05M tokens compared with 512 tokens.

Вердикт

Choose GPT-1 for оптимально для самостоятельного развертывания на своих серверах, дообучения и суверенитета данных, корпоративных rag-пайплайнов и масштабируемых api-сервисов., or choose Kimi K3 for оптимально для цепочек рассуждений (chain-of-thought) с открытыми весами и высокой эффективностью, корпоративных rag-пайплайнов и масштабируемых api-сервисов..

Часто задаваемые вопросы (FAQ)

Which is cheaper: GPT-1 or Kimi K3?+

GPT-1 costs $0/1M input and $0/1M output tokens, while Kimi K3 costs $0/1M input and $0/1M output tokens.

Which model has a larger context window: GPT-1 or Kimi K3?+

GPT-1 supports 1K tokens whereas Kimi K3 supports 1.0M 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.

Официальные источники: OpenAI & Moonshot AI Official Documentation