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GPT-5.5 vs gpt-oss-20b

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-5.5 and gpt-oss-20b.

OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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OpenAI

gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

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Technical Specifications

SpecificationGPT-5.5gpt-oss-20b
ProviderOpenAIOpenAI
Context Window1,050,000 tokens131,072 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242025-08-05

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

gpt-oss-20b

$0.03

Output Price per Million Tokens

GPT-5.5

$30.00

gpt-oss-20b

$0.14

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9420.0%vsN/A
GPT-5.5
gpt-oss-20b
HumanEvalPython coding & logic synthesis
9680.0%vsN/A
GPT-5.5
gpt-oss-20b
MATHComplex mathematical problem solving
9350.0%vsN/A
GPT-5.5
gpt-oss-20b
GPQAGraduate-level expert reasoning
8420.0%vsN/A
GPT-5.5
gpt-oss-20b
HellaSwagCommonsense reasoning and inference
9900.0%vsN/A
GPT-5.5
gpt-oss-20b
MT-BenchMulti-turn conversation flow quality
970.0%vsN/A
GPT-5.5
gpt-oss-20b

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling

gpt-oss-20b Quirks & Gotchas

No developer gotchas reported.