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Head-to-Head Model Comparison

GPT-2 vs Kimi K3

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs अनुसंधान दल द्वारा समीक्षितअंतिम समीक्षा: October 2026संपादकीय नीति
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OpenAIMoonshot AIhistoricalflagship

Compare GPT-2 by OpenAI against Kimi K3 by Moonshot AI across real-world coding, reasoning, token economics, and latency.

आमने-सामने मॉडल तुलना (VS)

किसी भी मॉडल को बदलें और तुलना करें

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

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OpenAI

GPT-2

ओपन-वेट्स मॉडल

OpenAI द्वारा विकसित GPT-2 एक उन्नत AI मॉडल है, जिसमें 1K टोकन का कॉन्टेक्स्ट विंडो और $0/1M इनपुट तथा $0/1M आउटपुट मूल्य निर्धारण है। यह कोडिंग, विश्लेषण और एंटरप्राइज वर्कफ़्लो के लिए उपयुक्त है।

Intelligence Index12 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

1K tokens

SWE-bench Verified:

N/A

Moonshot AI

Kimi K3

ओपन-वेट्स मॉडल

Moonshot AI द्वारा विकसित Kimi K3 एक उन्नत AI मॉडल है, जिसमें 1.0M टोकन का कॉन्टेक्स्ट विंडो और $0/1M इनपुट तथा $0/1M आउटपुट मूल्य निर्धारण है। यह कोडिंग, विश्लेषण और एंटरप्राइज वर्कफ़्लो के लिए उपयुक्त है।

Intelligence Index93 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

74.5%

एक नज़र में मुख्य अंतर

  • 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-2 is faster at 120 tok/s vs 58 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT-2Kimi K3
Intelligence Index
Composite reasoning & knowledge score (0-100)
1293
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
1K tokens~2 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
120 tok/s58 tok/s
SWE-bench Verified
Real-world software engineering
N/A74.5%
GPQA Diamond
Graduate-level reasoning
N/A79%

किस क्षेत्र में कौन आगे है?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Tied
Identical monthly runtime cost
Speed
GPT-2
+107% faster generation
Context
Kimi K3
1.05M tokens window

सत्यापित बेंचमार्क स्कोर तुलना

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

GPT-2Kimi 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.

15.2%vs88.8%
LMSYS Chatbot Arena Elo

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

750ptsvs1480pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

120 tok/s vs58 tok/s

लेटेंसी और रिस्पॉन्स समय

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-20.30s
Kimi K30.72s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-24.47s
Kimi K39.34s

रियल-टाइम टोकन लागत सिम्युलेटर

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-2 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-2 · Strengths & Key Advantages

  • OpenAI की उन्नत 48-layer Decoder Transformer आर्किटेक्चर और 1K कॉन्टेक्स्ट विंडो क्षमता
  • किफायती और पारदर्शी API मूल्य ($0/1M इनपुट, $0/1M आउटपुट) तेज़ रिस्पॉन्स के साथ
  • जटिल कोडिंग, तार्किक विश्लेषण और बहुभाषी कार्यों में उच्च सटीकता
Considerations & Trade-offs
  • बड़े पैमाने पर लंबे कॉन्टेक्स्ट प्रॉम्प्ट्स के लिए टोकन बजट प्रबंधन आवश्यक है
  • विशिष्ट डोमेन कार्यों में सर्वोत्तम परिणाम के लिए सटीक प्रॉम्प्ट इंजीनियरिंग की आवश्यकता होती है

Kimi K3 · Strengths & Key Advantages

  • Moonshot AI की उन्नत Colossus-Scale Multimodal Sparse Mixture-of-Experts आर्किटेक्चर और 1.0M कॉन्टेक्स्ट विंडो क्षमता
  • किफायती और पारदर्शी API मूल्य ($0/1M इनपुट, $0/1M आउटपुट) तेज़ रिस्पॉन्स के साथ
  • जटिल कोडिंग, तार्किक विश्लेषण और बहुभाषी कार्यों में उच्च सटीकता
Considerations & Trade-offs
  • बड़े पैमाने पर लंबे कॉन्टेक्स्ट प्रॉम्प्ट्स के लिए टोकन बजट प्रबंधन आवश्यक है
  • विशिष्ट डोमेन कार्यों में सर्वोत्तम परिणाम के लिए सटीक प्रॉम्प्ट इंजीनियरिंग की आवश्यकता होती है

Token Use & Task Economics

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

MetricGPT-2Kimi 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

तकनीकी विशिष्टताएँ (Specs)

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-2Kimi K3
Official API Model ID (SDK)gpt-2kimi-k3
API ProtocolOpenAI Responses API & Chat Completions v1OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2019-022026-07
Knowledge Cutoff2019March 2026
Architecture48-layer Decoder TransformerColossus-Scale Multimodal Sparse Mixture-of-Experts
Parameters1.5B2.8T 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-2 vs Kimi K3: त्वरित प्रश्नोत्तर (FAQ)

Which is more intelligent, GPT-2 or Kimi K3?

Kimi K3 is more intelligent. It scores 93 compared with 12 on the composite Intelligence Index.

Which model is faster?

GPT-2 is faster, generating 120 tokens per second compared with 58 tokens per second.

Which model has lower latency?

GPT-2 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 1K tokens.

निष्कर्ष

Choose GPT-2 for एंटरप्राइज ऑटोमेशन, सॉफ्टवेयर डेवलपमेंट, ai एजेंट्स और openai आधारित प्रोडक्शन सिस्टम, or choose Kimi K3 for एंटरप्राइज ऑटोमेशन, सॉफ्टवेयर डेवलपमेंट, ai एजेंट्स और moonshot ai आधारित प्रोडक्शन सिस्टम.

अक्सर पूछे जाने वाले प्रश्न (FAQ)

Which is cheaper: GPT-2 or Kimi K3?+

GPT-2 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-2 or Kimi K3?+

GPT-2 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.

स्रोत: OpenAI & Moonshot AI Official Documentation