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Head-to-Head Model Comparison

GPT-3.5 Turbo vs Kimi K3

Benchmarks, API Token Pricing, Context Window & Speed Comparison

تمت المراجعة بواسطة فريق أبحاث GetInfoUsآخر مراجعة: October 2026السياسة التحريرية
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OpenAIMoonshot AIfastflagship

Compare GPT-3.5 Turbo by OpenAI against Kimi K3 by Moonshot AI across real-world coding, reasoning, token economics, and latency.

مقارنة مباشرة (VS)

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GPT-3.5 Turbo

نموذج ذكاء اصطناعي عالي الأداء

نموذج GPT-3.5 Turbo المقدم من OpenAI يوفر نافذة سياق تصل إلى 16K رمز، بتكلفة $0.5 لكل مليون رمز إدخال و$1.5 لكل مليون رمز إخراج، ومصمم للبرمجة والاستدلال وتطبيقات الأعمال.

Intelligence Index30 / 100
Input Token:

$0.50 / 1M

Output Token:

$1.50 / 1M

Context Window:

16.4K tokens

SWE-bench Verified:

12.5%

Moonshot AI

Kimi K3

نموذج مفتوح الأوزان

نموذج Kimi K3 المقدم من Moonshot AI يوفر نافذة سياق تصل إلى 1.0M رمز، بتكلفة $0 لكل مليون رمز إدخال و$0 لكل مليون رمز إخراج، ومصمم للبرمجة والاستدلال وتطبيقات الأعمال.

Intelligence Index93 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

74.5%

أهم الفروقات في لمحة

  • Kimi K3 is 1.0x cheaper for API usage (input + output tokens combined).
  • Kimi K3 has a larger context window (1M vs 16K tokens).
  • GPT-3.5 Turbo is faster at 90 tok/s vs 58 tok/s.
  • Kimi K3 leads on SWE-bench coding (74.5% vs 12.5%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT-3.5 TurboKimi K3
Intelligence Index
Composite reasoning & knowledge score (0-100)
3093
Provider
OpenAIMoonshot AI
Input Price
Cost per million input tokens
$0.50 / 1M$0.00 / 1M
Output Price
Cost per million output tokens
$1.50 / 1M$0.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.42 / 1M$0.00 / 1M
Context Window
Maximum input + output tokens
16.4K tokens~25 A4 pages of text1.05M tokens~1,573 A4 pages of text
Max Output Tokens
Per single request
4K131K
Throughput Speed
Tokens generated per second
90 tok/s58 tok/s
SWE-bench Verified
Real-world software engineering
12.5%74.5%
GPQA Diamond
Graduate-level reasoning
28%79%
Cached Input Price
Prompt caching discount per 1M tokens
$0.25 / 1M$0.00 / 1M

من يتفوق في كل مجال؟

At-a-glance decision framework
Coding
Kimi K3
+62.0% SWE-bench lead
Cost
Kimi K3
1.0x cheaper monthly runtime
Speed
GPT-3.5 Turbo
+55% faster generation
Context
Kimi K3
1.05M tokens window

نتائج الاختبارات المعيارية الموثقة

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

GPT-3.5 TurboKimi K3
SWE-bench Verified (Autonomous Coding)

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

12.5%vs74.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

28%vs79%
MMLU-Pro (Multi-task Language Understanding)

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

56.8%vs88.8%
LMSYS Chatbot Arena Elo

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

1115ptsvs1480pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

90 tok/s vs58 tok/s

زمن الاستجابة والسرعة

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-3.5 Turbo0.45s
Kimi K30.72s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-3.5 Turbo6.01s
Kimi K39.34s

محاكي تكلفة الرموز التفاعلي

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-3.5 Turbo Monthly API Bill
$2.48 / month
$0.5/1M in · $1.5/1M out
Kimi K3 Monthly API Bill
$0.00 / month
$0/1M in · $0/1M out
Kimi K3 saves approximately $2.48 / month (100%) under this workload.1.0x Savings

GPT-3.5 Turbo · Strengths & Key Advantages

  • بنية Transformer with RLHF & PPO متطورة من OpenAI مع سعة سياق تبلغ 16K رمز
  • كفاءة عالية في التكلفة ($0.5/1M إدخال و$1.5/1M إخراج) وسرعة استجابة ممتازة
  • أداء قوي في اختبارات البرمجة، الاستدلال المنطقي، ودعم اللغات المتعددة
Considerations & Trade-offs
  • يتطلب إدارة دقيقة لاستهلاك الرموز عند استخدام نافذة السياق الكاملة
  • قد يحتاج إلى ضبط دقيق للتعليمات (Prompt Engineering) في المهام التخصصية المعقدة

Kimi K3 · Strengths & Key Advantages

  • بنية Colossus-Scale Multimodal Sparse Mixture-of-Experts متطورة من Moonshot AI مع سعة سياق تبلغ 1.0M رمز
  • كفاءة عالية في التكلفة ($0/1M إدخال و$0/1M إخراج) وسرعة استجابة ممتازة
  • أداء قوي في اختبارات البرمجة، الاستدلال المنطقي، ودعم اللغات المتعددة
Considerations & Trade-offs
  • يتطلب إدارة دقيقة لاستهلاك الرموز عند استخدام نافذة السياق الكاملة
  • قد يحتاج إلى ضبط دقيق للتعليمات (Prompt Engineering) في المهام التخصصية المعقدة

Token Use & Task Economics

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

MetricGPT-3.5 TurboKimi 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

المواصفات التقنية

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-3.5 TurboKimi K3
Official API Model ID (SDK)gpt-3-5-turbokimi-k3
API ProtocolOpenAI Responses API & Chat Completions v1OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2022-112026-07
Knowledge CutoffSeptember 2021March 2026
ArchitectureTransformer with RLHF & PPOColossus-Scale Multimodal Sparse Mixture-of-Experts
ParametersConfidential (est. 20B MoE / 175B base)2.8T total (MoE)
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPMUnlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)Flat rate ($0.5/1M in) across full 16K windowFree across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTLAutomatic prefix caching at $0.25/1M (no extra cache-write fee)Automatic prefix KV-caching in vLLM / SGLang (0 cost)
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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 & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)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 VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)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)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalitiestexttext, vision
Output Modalitiestexttext

GPT-3.5 Turbo vs Kimi K3: إجابات سريعة (FAQ)

Which is more intelligent, GPT-3.5 Turbo or Kimi K3?

Kimi K3 is more intelligent. It scores 93 compared with 30 on the composite Intelligence Index.

Which model is faster?

GPT-3.5 Turbo is faster, generating 90 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 $0.42 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-3.5 Turbo has lower latency, with a time to first token of 0.45s compared with 0.72s.

Which model has a larger context window?

Kimi K3 has a larger context window, supporting 1.05M tokens compared with 16.4K tokens.

الحكم النهائي

Choose GPT-3.5 Turbo for أتمتة الأعمال، تطوير البرمجيات، الوكلاء الأذكياء (ai agents)، وتطبيقات openai الإنتاجية, or choose Kimi K3 for أتمتة الأعمال، تطوير البرمجيات، الوكلاء الأذكياء (ai agents)، وتطبيقات moonshot ai الإنتاجية.

الأسئلة الشائعة (FAQ)

Which is cheaper: GPT-3.5 Turbo or Kimi K3?+

GPT-3.5 Turbo costs $0.5/1M input and $1.5/1M output tokens, while Kimi K3 costs $0/1M input and $0/1M output tokens.

Which model has a larger context window: GPT-3.5 Turbo or Kimi K3?+

GPT-3.5 Turbo supports 16K 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.

المصادر الرسمية: OpenAI & Moonshot AI Official Documentation