Llama 3.1 70B vs GPT-5.2 Pro

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$21.00Openai · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$168.00Openai · Sep 3, 2026
Context windowMaximum documented tokens131K400K
Model facts checkedAug 28, 2026View model evidence →Sep 3, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldLlama-3.1-70BGPT-5.2 Pro
DeveloperMetaOpenAI
FamilyLlama 3 1 70bGpt 5 2
ModelLlama-3.1-70BGPT-5.2 Pro
VersionLlama-3.1-70BGPT-5.2 Pro
Lifecycleactiveactive
Released2024-07-232025-12-11
Knowledge cutoffUnknown2025-08-31
Input modalitiesTextText, Image
Output modalitiesTextText
Context window131K400K
Total parameters70.6BUnknown
Active parametersUnknownUnknown
Licensellama3.1Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard)Openai (Standard), Openrouter (Standard)
Capabilitiesgenerationchat, generation, reasoning, structured_outputs, tools

Llama 3.1 70B Capabilities

generation
Serving providers1
Canonical IDmeta-llama/Llama-3.1-70B

GPT-5.2 Pro Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDopenai/gpt-5.2-pro

Primary Evidence

Sources and Freshness

Questions

Llama 3.1 70B vs GPT-5.2 Pro FAQs

Is Llama 3.1 70B or GPT-5.2 Pro better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 70B and GPT-5.2 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 3.1 70B or GPT-5.2 Pro?+

Only GPT-5.2 Pro has a directly sourced input price: $21.00 per million tokens. Only GPT-5.2 Pro has a directly sourced output price: $168.00 per million tokens.

Which has a larger context window, Llama 3.1 70B or GPT-5.2 Pro?+

GPT-5.2 Pro has the larger sourced context window. Llama 3.1 70B supports 131K and GPT-5.2 Pro supports 400K.

Which performs better in benchmarks, Llama 3.1 70B or GPT-5.2 Pro?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Llama 3.1 70B or GPT-5.2 Pro be self-hosted?+

Llama 3.1 70B is the only model in this pair currently marked as self-hostable. Llama 3.1 70B is open weight; GPT-5.2 Pro is not marked open weight.

Can Llama 3.1 70B and GPT-5.2 Pro understand images?+

Llama 3.1 70B is not documented with image input; GPT-5.2 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Llama 3.1 70B or GPT-5.2 Pro?+

Neither has a larger sourced maximum output. Llama 3.1 70B is — and GPT-5.2 Pro is 128K.

Do Llama 3.1 70B and GPT-5.2 Pro support reasoning and tool use?+

Llama 3.1 70B: none of these features are definitively sourced. GPT-5.2 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 3.1 70B or GPT-5.2 Pro?+

Llama 3.1 70B has 1 sourced provider route; GPT-5.2 Pro has 2, so GPT-5.2 Pro has broader tracked availability.

Which offers better value, Llama 3.1 70B or GPT-5.2 Pro?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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