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Head-to-head comparison

Llama 3.3 70B Instruct vs gpt-oss-safeguard-20b

Llama 3.3 70B Instruct (Meta) and gpt-oss-safeguard-20b (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 9 September 2026

As of 9 September 2026, Llama 3.3 70B Instruct holds the stronger ModelCap Index position (#140 vs #141); gpt-oss-safeguard-20b is cheaper per output token ($0.30/1M vs $0.32/1M); and gpt-oss-safeguard-20b ships open weights.

Which should you choose?

Choose Llama 3.3 70B Instruct if…

  • you want the stronger overall ModelCap Index position — #140 against #141 (24.0 vs 23.9 points).
  • you want provider choice — 12 listed API providers against 1.

Choose gpt-oss-safeguard-20b if…

  • API cost matters — $0.30/1M output tokens against $0.32/1M.
  • your workload is prompt-heavy — input tokens cost $0.075/1M against $0.10/1M.
  • you want to self-host: gpt-oss-safeguard-20b ships open weights while Llama 3.3 70B Instruct is gated access.
  • you want the more recently listed model — gpt-oss-safeguard-20b was listed 29 October 2025, Llama 3.3 70B Instruct 6 December 2024.

Llama 3.3 70B Instruct vs gpt-oss-safeguard-20b: specs, pricing and context

Specification comparison of Llama 3.3 70B Instruct and gpt-oss-safeguard-20b
FieldLlama 3.3 70B InstructMetagpt-oss-safeguard-20bOpenAI
ModelCap Index position#140#141
Index score24.023.9
EvidenceMeasuredInherited
Input price / 1M tokens$0.10$0.075
Output price / 1M tokens$0.32$0.30
Context window131K tokens131K tokens
Max output tokens16K66K
API providers listed121
Weight accessGated accessOpen weights
Input modalitiesTextText
First listed6 December 202429 October 2025
PublisherMetaOpenAI

Evidence: 2 public benchmark observations across 2 boards · finetune of openai/gpt-oss-20b · fp4 (100%). Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Llama 3.3 70B Instruct vs gpt-oss-safeguard-20b

Public benchmark boards where Llama 3.3 70B Instruct or gpt-oss-safeguard-20b has a published result
BoardLlama 3.3 70B Instructgpt-oss-safeguard-20bLeads
Arena codingArena (LMArena)13461339–1352—Only one result
BFCL V4UC Berkeley (Gorilla)31.9Function calling—Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Llama 3.3 70B Instruct vs gpt-oss-safeguard-20b: common questions

Is Llama 3.3 70B Instruct better than gpt-oss-safeguard-20b?

Llama 3.3 70B Instruct ranks higher on the ModelCap Index as of 9 September 2026: #140 against #141. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Llama 3.3 70B Instruct cheaper than gpt-oss-safeguard-20b?

gpt-oss-safeguard-20b is cheaper on output tokens: $0.30/1M against $0.32/1M. Input tokens are $0.10/1M for Llama 3.3 70B Instruct and $0.075/1M for gpt-oss-safeguard-20b. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.36 for Llama 3.3 70B Instruct versus $0.30 for gpt-oss-safeguard-20b. gpt-oss-safeguard-20b costs 16.7% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Llama 3.3 70B Instruct or gpt-oss-safeguard-20b?

Both publish a 131K-token context window.

Which is better for coding, Llama 3.3 70B Instruct or gpt-oss-safeguard-20b?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Llama 3.3 70B Instruct and gpt-oss-safeguard-20b open-weight models?

Llama 3.3 70B Instruct: Gated access. gpt-oss-safeguard-20b: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Llama 3.3 70B Instruct and gpt-oss-safeguard-20b?

ModelCap currently lists 12 API providers for Llama 3.3 70B Instruct and 1 for gpt-oss-safeguard-20b, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Llama 3.3 70B Instruct vs gpt-oss-safeguard-20b comparison?

Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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