API cost decision in 10 seconds

NewGPT Luna Latest vs Gemini 3.8 Flash

Pick GPT Luna Latest when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GPT Luna Latest when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT Luna Latest is estimated at $0.8 vs $2.62 for Gemini 3.8 Flash, saving $1.82 (69.5% lower).

Cost-first pickGPT Luna Latest
Context-first pickGPT Luna Latest
Sample savings$1.8269.5%
10x traffic gap$18.25

GPT Luna Latest is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $18.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

GPT Luna Latest stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT Luna LatestGemini 3.8 Flash
Input-heavy / RAG5M input + 500K outputGPT Luna Latest$1.6$5.62
Balanced workload1M input + 1M outputGPT Luna Latest$1.4$4.5
Output-heavy chatbot1M input + 5M outputGPT Luna Latest$6.2$19.5
Cheaper input GPT Luna Latest $0.2 vs $0.75 / 1M

GPT Luna Latest is $0.55 cheaper per 1M input tokens (73.3% lower; 3.75x difference).

Cheaper output GPT Luna Latest $1.2 vs $3.75 / 1M

GPT Luna Latest is $2.55 cheaper per 1M output tokens (68% lower; 3.12x difference).

Larger context GPT Luna Latest 1.05M vs 1.05M

GPT Luna Latest has 1.42K more context (1x larger).

Sample workload GPT Luna Latest $0.8 vs $2.62

GPT Luna Latest is $1.82 cheaper on the standard workload (69.5% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT Luna Latest Calculating… Estimated API cost
Gemini 3.8 Flash Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

GPT Luna Latest has the lower input price; GPT Luna Latest has the lower output price; GPT Luna Latest offers the larger context window. For the 1M input plus 500K output sample, GPT Luna Latest is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.8 for GPT Luna Latest and $2.62 for Gemini 3.8 Flash.

Best Fit

Choose GPT Luna Latest when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Gemini 3.8 Flash when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, GPT Luna Latest is estimated at $0.8 vs $2.62 for Gemini 3.8 Flash, saving $1.82 (69.5% lower).
  • GPT Luna Latest is $1.82 cheaper on the standard workload (69.5% lower).
  • GPT Luna Latest is $0.55 cheaper per 1M input tokens (73.3% lower; 3.75x difference).
  • GPT Luna Latest is $2.55 cheaper per 1M output tokens (68% lower; 3.12x difference).
  • GPT Luna Latest has 1.42K more context (1x larger).
Head-to-Head Specs
FeatureNewGPT Luna Latest
(OpenAI)
Gemini 3.8 Flash
(Google)
Input Price
prompt tokens per 1M
$0.2$0.75
Completion Price
per 1M tokens
$1.2$3.75
Sample Workload Cost
1M input + 500K output
$0.8$2.62
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGPT Luna LatestOn the standard 1M input plus 500K output workload, GPT Luna Latest is estimated at $0.8 vs $2.62 for Gemini 3.8 Flash, saving $1.82 (69.5% lower).
High-volume input processingGPT Luna LatestLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGPT Luna LatestLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT Luna LatestA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace GPT Luna Latest when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT Luna Latest when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT Luna Latest when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT Luna Latest when lower sample workload cost matters most: $0.12.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

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Google catalog

Check other Google models with comparable pricing, context, or release timing.

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GPT Luna Latest

This model always redirects to the latest model in the GPT Luna family.

Gemini 3.8 Flash

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.