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Head-to-head comparison

Llama 3.3 70B Instruct vs GPT-4 Turbo

Llama 3.3 70B Instruct (Meta) and GPT-4 Turbo (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 17 August 2026

As of 17 August 2026, GPT-4 Turbo holds the stronger ModelCap Index position (#173 vs #174); Llama 3.3 70B Instruct is 93.8× cheaper per output token ($0.32/1M vs $30.00/1M); and Llama 3.3 70B Instruct offers the longer context window (131K vs 128K tokens).

Which should you choose?

Choose Llama 3.3 70B Instruct if…

  • API cost matters — $0.32/1M output tokens against $30.00/1M, about 93.8× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.10/1M against $10.00/1M.
  • you need the longer context window — 131K tokens against 128K.
  • you want provider choice — 12 listed API providers against 1.
  • you want the more recently listed model — Llama 3.3 70B Instruct was listed 6 December 2024, GPT-4 Turbo 9 April 2024.

Choose GPT-4 Turbo if…

  • you want the stronger overall ModelCap Index position — #173 against #174 (20.9 vs 20.6 points).
  • Arena coding is your yardstick — 1347 against 1346.

Llama 3.3 70B Instruct vs GPT-4 Turbo: specs, pricing and context

Specification comparison of Llama 3.3 70B Instruct and GPT-4 Turbo
FieldLlama 3.3 70B InstructMetaGPT-4 TurboOpenAI
ModelCap Index position#174#173
Index score20.620.9
EvidenceMeasuredMeasured
Input price / 1M tokens$0.10$10.00
Output price / 1M tokens$0.32$30.00
Context window131K tokens128K tokens
Max output tokens16K4K
API providers listed121
Weight accessGated accessAPI only
Input modalitiesTextText, Image
First listed6 December 20249 April 2024
PublisherMetaOpenAI

Evidence: 2 public benchmark observations across 2 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Llama 3.3 70B Instruct vs GPT-4 Turbo

Public benchmark boards where Llama 3.3 70B Instruct or GPT-4 Turbo has a published result
BoardLlama 3.3 70B InstructGPT-4 TurboLeads
Arena codingArena (LMArena)13461339–135213471340–1354GPT-4 Turbo
BFCL V4UC Berkeley (Gorilla)31.9Function calling—Only one result
Artificial Analysis Intelligence IndexArtificial Analysis—7.7intelligence-indexOnly 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-4 Turbo: common questions

Is Llama 3.3 70B Instruct better than GPT-4 Turbo?

GPT-4 Turbo ranks higher on the ModelCap Index as of 17 August 2026: #173 against #174. 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.

Is Llama 3.3 70B Instruct cheaper than GPT-4 Turbo?

Llama 3.3 70B Instruct is cheaper on output tokens: $0.32/1M against $30.00/1M. Input tokens are $0.10/1M for Llama 3.3 70B Instruct and $10.00/1M for GPT-4 Turbo. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Llama 3.3 70B Instruct or GPT-4 Turbo?

Llama 3.3 70B Instruct has the larger context window: 131K tokens against 128K.

Which is better for coding, Llama 3.3 70B Instruct or GPT-4 Turbo?

Arena coding: Llama 3.3 70B Instruct 1346, GPT-4 Turbo 1347 — GPT-4 Turbo leads.

Are Llama 3.3 70B Instruct and GPT-4 Turbo open-weight models?

Llama 3.3 70B Instruct: Gated access. GPT-4 Turbo: API only. 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-4 Turbo?

ModelCap currently lists 12 API providers for Llama 3.3 70B Instruct and 1 for GPT-4 Turbo, 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-4 Turbo comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 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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