Pricing comparison

OpenAI vs Meta Llama Pricing

Per-million-token pricing for OpenAI and Meta Llama, with side-by-side flagship models, cheapest tiers, and context windows. Pricing data syncs weekly from a continuously-updated model catalog — last updated June 22, 2026.

As of June 22, 2026, Meta Llama offers the lowest output-token price at $0.02/1M (Llama 3.2 3B Instruct — $0.02/1M output).

Who wins on what

Cheapest input tokens

$0.02/1M

Meta Llama

Llama 3.1 8B Instruct — $0.02/1M input

Cheapest output tokens

$0.02/1M

Meta Llama

Llama 3.2 3B Instruct — $0.02/1M output

Longest context window

2.0M

OpenAI

gpt-5.4 (>272K context length) — 2.0M input tokens

Lowest average output cost

$0.67/1M

Meta Llama

Provider-wide average across 22 models

Largest model catalog

138 models

OpenAI

More options to match cost vs capability

Most reasoning models

9 models

OpenAI

Models with dedicated reasoning / thinking support

Most vision models

10 models

OpenAI

Models that accept image input

Side-by-side

138 models

OpenAI

Cheapest input

$0.030

gpt-oss-20b

Cheapest output

$0.140

gpt-oss-20b

Longest context

2.0M

gpt-5.4 (>272K context length)

Avg output / 1M

$28.00

Across catalog

Cheapest cached input

$0.125

GPT-5.1 Codex Max

ModelIn/1MOut/1MCtx
GPT-5.5 Pro
VisionReasoningTools
$30.00$180.001.1M
GPT-5.5
VisionReasoningToolsCache
$5.00$30.001.1M
gpt-5.4-mini$0.750$4.50272K
gpt-5.4-nano$0.200$1.25272K
GPT-5.4 Pro
VisionReasoningTools
$30.00$180.001.1M
gpt-oss-20b$0.030$0.140131K
22 models

Meta Llama

Cheapest input

$0.020

Llama 3.1 8B Instruct

Cheapest output

$0.020

Llama 3.2 3B Instruct

Longest context

1.0M

Llama 4 Maverick

Avg output / 1M

$0.674

Across catalog

ModelIn/1MOut/1MCtx
Llama 3.1 405B (base)$4.00$4.0033K
Llama 3.1 405B Instruct$3.50$3.50131K
Llama 4 Maverick$0.150$0.6001.0M
Llama 3 70B Instruct$0.300$0.4008K
Llama 3.1 70B Instruct$0.400$0.400131K
Llama 3.2 3B Instruct$0.020$0.020131K

All prices in USD per 1 million tokens. Showing top 6 models per provider, sorted by output cost.

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Run the numbers for your workload

Calcaas multiplies per-token costs by your real usage patterns — inputs, outputs, retries, and conversation history — across both providers in one model.