Compare the listed model data for Llama 3.3 70B Instruct by Meta Llama and GPT-OSS 20B by Microsoft / OpenAI. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
Llama 3.3 70B Instruct: 128K tokens; GPT-OSS 20B: 128K tokens. The listed context-window values are equal. Llama 3.3 70B Instruct is listed for coding, agentic workflows, long-context tasks; GPT-OSS 20B is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Llama 3.3 70B Instruct 86.0%; GPT-OSS 20B 78.3%; HumanEval: Llama 3.3 70B Instruct 88.4%; GPT-OSS 20B 76.1%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
The first listed parameter quantities are 70B and 20B; the larger quantity is 3.5× the smaller. Total and active MoE parameters are not directly equivalent.
A release-date gap cannot be calculated from the catalog values (Llama 3.3 70B Instruct: December 2024; GPT-OSS 20B: 2025).
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose Llama 3.3 70B Instruct if…
Choose Llama 3.3 70B Instruct when your task aligns with catalog-listed uses or strengths such as Enterprise text processing at 70B quality, Production chatbots for business, Code assistance, Best performance per dollar in the Llama 3.x family at 70B scale.
Choose GPT-OSS 20B if…
Choose GPT-OSS 20B when your task aligns with catalog-listed uses or strengths such as Applications needing OpenAI research quality open-weight, Research with MIT-licensed OpenAI model, OpenAI's first truly open-source model, MIT license — free commercial use.
Feature Comparison — Llama 3.3 70B Instruct vs GPT-OSS 20B
Catalog specifications for Llama 3.3 70B Instruct and GPT-OSS 20B
Specification
Llama 3.3 70B Instruct
GPT-OSS 20B
Provider
Meta Llama
Microsoft / OpenAI
Parameters
70B
20B
Context window
128K tokens
128K tokens
Maximum output
Not listed
Not listed
Catalog pricing
Llama 3.3 Community License — free. Third-party: $0.59-0.90/MTok
MIT — free
Listed input/output cost per 1M tokens
Separate numeric input/output rates not listed
Separate numeric input/output rates not listed
License
Meta Llama 3.3 Community License
MIT
Coding support
Listed
Not listed
Reasoning support
Not listed
Not listed
Vision input
Not listed
Not listed
Multimodal
Not listed
Not listed
Open weights
Yes
Yes
Benchmark: MMLU
86.0%
78.3%
Benchmark: HumanEval
88.4%
76.1%
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
What is different between Llama 3.3 70B Instruct and GPT-OSS 20B?
Llama 3.3 70B Instruct: 128K tokens; GPT-OSS 20B: 128K tokens. The listed context-window values are equal. Llama 3.3 70B Instruct is listed for coding, agentic workflows, long-context tasks; GPT-OSS 20B is listed for no specific capability flags. Shared catalog benchmark entries: MMLU: Llama 3.3 70B Instruct 86.0%; GPT-OSS 20B 78.3%; HumanEval: Llama 3.3 70B Instruct 88.4%; GPT-OSS 20B 76.1%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for Llama 3.3 70B Instruct and GPT-OSS 20B?
MMLU: Llama 3.3 70B Instruct 86.0%; GPT-OSS 20B 78.3%; HumanEval: Llama 3.3 70B Instruct 88.4%; GPT-OSS 20B 76.1%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
Llama 3.3 70B Instruct: 128K tokens; GPT-OSS 20B: 128K tokens. The listed context-window values are equal.
What are the listed costs per million tokens for Llama 3.3 70B Instruct and GPT-OSS 20B?
Llama 3.3 70B Instruct: Separate numeric input/output rates not listed (Llama 3.3 Community License — free. Third-party: $0.59-0.90/MTok). GPT-OSS 20B: Separate numeric input/output rates not listed (MIT — free). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for Llama 3.3 70B Instruct and GPT-OSS 20B?
The catalog lists Llama 3.3 70B Instruct as December 2024 and GPT-OSS 20B as 2025; a release-date gap cannot be calculated from both records.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between Llama 3.3 70B Instruct and GPT-OSS 20B?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.
Create your free LITHOVEX account and compare Llama 3.3 70B Instruct and GPT-OSS 20B on your actual tasks. No credit card, no API key, no subscriptions needed.