Head-to-Head Model Comparison

GPT-OSS 120B vs DeepSeek V4 Pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

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GPT-OSS 120BProfile

DeepSeek V4 ProProfile

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OpenAI

GPT-OSS 120B

Açık Ağırlıklı Temel Model

OpenAI tarafından geliştirilen GPT-OSS 120B; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 131K bağlam penceresi, 95 token/sn hız, 56/100 zeka indeksi ve 1M token başına $0.15/

Intelligence Index56 / 100

Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

45.5%

DeepSeek

DeepSeek V4 Pro

Otonom Ajan ve Araç Modeli

DeepSeek tarafından geliştirilen DeepSeek V4 Pro; otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon için tasarlanmış olup 1M bağlam penceresi, 80 token/sn hız, 53/100 zeka indeksi ve 1M token başına $1.32/$3.96 fi

Intelligence Index53 / 100

Input Token:

$1.32 / 1M

Output Token:

$3.96 / 1M

Context Window:

1M tokens

SWE-bench Verified:

68.5%

Bir Bakışta Temel Farklar

GPT-OSS 120B is 7.3x cheaper for API usage (input + output tokens combined).
DeepSeek V4 Pro has a larger context window (1M vs 131K tokens).
GPT-OSS 120B is faster at 95 tok/s vs 80 tok/s.
DeepSeek V4 Pro leads on SWE-bench coding (68.5% vs 45.5%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	GPT-OSS 120B	DeepSeek V4 Pro
Intelligence Index Composite reasoning & knowledge score (0-100)	56	53
Provider	OpenAI	DeepSeek
Input Price Cost per million input tokens	$0.15 / 1M	$1.32 / 1M
Output Price Cost per million output tokens	$0.60 / 1M	$3.96 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.10 / 1M	$0.76 / 1M
Context Window Maximum input + output tokens	131.1K tokens~197 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	33K	128K
Throughput Speed Tokens generated per second	95 tok/s	80 tok/s
SWE-bench Verified Real-world software engineering	45.5%	68.5%
GPQA Diamond Graduate-level reasoning	68.5%	81.2%
Cached Input Price Prompt caching discount per 1M tokens	$0.01 / 1M	$0.14 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

DeepSeek V4 Pro

+23.0% SWE-bench lead

Cost

GPT-OSS 120B

7.3x cheaper monthly runtime

Speed

GPT-OSS 120B

+19% faster generation

Context

DeepSeek V4 Pro

1M tokens window

Doğrulanmış Benchmark Puanları

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

GPT-OSS 120BDeepSeek V4 Pro

SWE-bench Verified (Autonomous Coding)

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

45.5%vs68.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

68.5%vs81.2%

MMLU-Pro (Multi-task Language Understanding)

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

80.5%vs88.9%

LMSYS Chatbot Arena Elo

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

1330ptsvs1438pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

9.8%vs15.6%

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

30.5%vs46.5%

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

33%vs43%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

58.5%vs70.2%

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

84.5%vs91%

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

71%vs90%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs80 tok/s

Gecikme Süresi ve Yanıt Hızı

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-OSS 120B0.48s

DeepSeek V4 Pro0.58s

Est. End-to-End Response (500 tokens)TTFT + generation time

GPT-OSS 120B5.74s

DeepSeek V4 Pro6.83s

Gerçek Zamanlı Token Maliyet Simülatörü

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)

GPT-OSS 120B Monthly API Bill

$0.79 / month

$0.15/1M in · $0.6/1M out

DeepSeek V4 Pro Monthly API Bill

$5.75 / month

$1.32/1M in · $3.96/1M out

GPT-OSS 120B saves approximately $4.97 / month (86%) under this workload.7.3x Savings

GPT-OSS 120B · Strengths & Key Advantages

131K bağlam penceresi ve yanıt başına maksimum 33K çıktı tokenı kapasitesi (SWE-bench Verified 45.5% · GPQA Diamond 68.5%)
Sadece 480 ms ilk token gecikmesi (TTFT) ile saniyede 95 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (117B (5.1B MoE))

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

DeepSeek V4 Pro · Strengths & Key Advantages

1M bağlam penceresi ve yanıt başına maksimum 128K çıktı tokenı kapasitesi (SWE-bench Verified 68.5% · GPQA Diamond 81.2%)
Sadece 580 ms ilk token gecikmesi (TTFT) ile saniyede 80 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (MoE (Colossal))

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Token Use & Task Economics

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

Metric	GPT-OSS 120B	DeepSeek V4 Pro
Cost per Task Estimated USD to finish one task	$0.14	$0.67
Output Tokens / Task Tokens generated per task	45K	52K
Reasoning Tokens / Task Thinking tokens burned per task	22K	25K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-OSS 120B	DeepSeek V4 Pro
Official API Model ID (SDK)	gpt-oss-120b	deepseek-reasoner
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-08	2026-08
Knowledge Cutoff	June 2024	May 2026
Architecture	Sparse MoE transformer with reasoning	Next-Gen Sparse MoE with Agent RL Tuning
Parameters	117B (5.1B active MoE)	MoE (Colossal)
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)	Flat rate ($0.15/1M in) across full 131K window	Flat rate ($1.32/1M in) across full 1000K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0.015/1M (no extra cache-write fee)	Automatic prefix caching at $0.14/1M (no extra cache-write fee)
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	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	Native Web Search tool + Hosted Code Interpreter & File Search RAG	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)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 73 GB VRAM (4-bit Quantized) · 252 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 43 GB VRAM (4-bit Quantized) · 151 GB VRAM (Native BF16)
Safety & Frontier Classification	OpenAI Preparedness Framework Audited & System Card Published	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	text
Output Modalities	text	text

GPT-OSS 120B vs DeepSeek V4 Pro: Hızlı Yanıtlar (SSS)

Which is more intelligent, GPT-OSS 120B or DeepSeek V4 Pro?

GPT-OSS 120B is more intelligent. It scores 56 compared with 53 on the composite Intelligence Index.

Which model is faster?

GPT-OSS 120B is faster, generating 95 tokens per second compared with 80 tokens per second.

Which model is cheaper to run?

GPT-OSS 120B is cheaper at $0.10 per 1M tokens blended, compared with $0.76 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-OSS 120B has lower latency, with a time to first token of 0.48s compared with 0.58s.

Which model has a larger context window?

DeepSeek V4 Pro has a larger context window, supporting 1M tokens compared with 131.1K tokens.

Sonuç

Hem GPT-OSS 120B (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de DeepSeek V4 Pro (otonom ajan iş akışları, araç çağırma (tool calling) ve çok adımlı otomasyon, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: GPT-OSS 120B karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-OSS 120B daha yüksek üretim hızı sağlar; GPT-OSS 120B ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için GPT-OSS 120B mi yoksa DeepSeek V4 Pro mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde GPT-OSS 120B önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

GPT-OSS 120B ve DeepSeek V4 Pro API fiyatları nasıl karşılaştırılır?+

GPT-OSS 120B 1M giriş/çıkış tokeni başına $0.15 / $0.60 ücretlendirilirken, DeepSeek V4 Pro $1.32 / $3.96 seviyesindedir. Karma maliyette GPT-OSS 120B daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

GPT-OSS 120B 131.1K token bağlam penceresi sunarken DeepSeek V4 Pro 1M token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-OSS 120B öndedir.

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)

GPT-OSS 120B vs DeepSeek V4 Pro

İstediğiniz Modelleri Seçin ve Karşılaştırın

GPT-OSS 120B

DeepSeek V4 Pro

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

GPT-OSS 120B · Strengths & Key Advantages

Considerations & Trade-offs

DeepSeek V4 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

GPT-OSS 120B vs DeepSeek V4 Pro: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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