Compare

Gpt 5 6 Luna 2026 07 09 vs Llama 3.1 70B

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

OpenAI

Model

Gpt 5 6 Luna 2026 07 09

Image inputTool calling

Best $0.200 in · $1.20 out

Context window 922K

Pricing
Meta

Model

Llama 3.1 70B

Tool calling

Best $0.400 in · $0.400 out

Context window 128K

Pricing

Gpt 5 6 Luna 2026 07 09 is 50% cheaper on input. Llama 3.1 70B is 66% cheaper on output. The best choice depends on your input/output ratio.

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

ProviderGpt 5 6 Luna 2026 07 09 inGpt 5 6 Luna 2026 07 09 outLlama 3.1 70B inLlama 3.1 70B out
Azure$0.200$1.20N/AN/A
DeepInfraN/AN/A$0.520$0.750
Fireworks AIN/AN/A$0.900$0.900
GroqN/AN/A$0.590$0.790
OpenrouterN/AN/A$0.400$0.400
PerplexityN/AN/A$1.00$1.00
Together AIN/AN/A$0.880$0.880
Vercel Ai GatewayN/AN/A$0.720$0.720
WandbN/AN/A$0.800$0.800

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · OpenAI · Meta

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

OpenAI · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Meta · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec
Gpt 5 6 Luna 2026 07 09
Llama 3.1 70B
Context window
922,000 tokens
128,000 tokens
Max output tokens
128,000 tokens
4,096 tokens
Vision
Yes
No
Function calling
Yes
Yes
Streaming
No
Yes
Release date
N/A
Jul 2024

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

Gpt 5 6 Luna 2026 07 09
Monthly
$240
Annual
$2.9K
Llama 3.1 70B
Monthly
$269
Annual
$3.3K
Save $29/month with Gpt 5 6 Luna 2026 07 09

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

  • Long-context tasks

    Use Gpt 5 6 Luna 2026 07 09. Its 922K context window handles large codebases and documents better than 128K.

  • High-volume text generation

    Use Llama 3.1 70B. Output tokens are 66% cheaper, which compounds significantly at scale.

  • Long output (reports, code files)

    Use Gpt 5 6 Luna 2026 07 09. Its 128K max output limit reduces the need to split requests.

Frequently asked questions

Gpt 5 6 Luna 2026 07 09 is cheaper on input tokens, while Llama 3.1 70B is cheaper on output. The best choice depends on your input/output ratio.

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