GPT-6 LunavsQwen3.8-Flash
Both language models, compared at each maker’s own API list prices. Every figure links to its source.
Compare at your usage
Every model priced for the same request8,000 tokens in, 2,000 out
| GPT-6 Luna on OpenAI API | Qwen3.8-Flash on Alibaba Cloud Model Studio | |
|---|---|---|
| Rate applied | Base rate | Base rate |
| Inputper 1M tokens | $0.10 | $0.113 |
| Cache readper 1M tokens | $0.010 | $0.014 |
| Outputper 1M tokens | $0.50 | $0.382 |
| Cost per request | $0.0018 | $0.001668 |
| Per 1,000 requests | $1.80 | $1.668 |
- GPT-6 Luna OpenAI API pricing · as of Nov 2, 2026
- Qwen3.8-Flash Alibaba Cloud Model Studio pricing · as of Nov 2, 2026 · Qwen3.8 Flash model · as of Nov 1, 2026
Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.
Cost per request as prompts grow
2K tokens out, list price on each maker’s API. GPT-6 Luna charges $0.20 / $0.75 above 272K tokens.
- GPT-6 Luna · OpenAI API
- Qwen3.8-Flash · Alibaba Cloud Model Studio
Key differences
InputMaker’s official API · global · USD
$0.10 / 1M tokens OpenAI API pricing · as of Nov 2, 2026
$0.113 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
OutputMaker’s official API · global · USD
$0.50 / 1M tokens OpenAI API pricing · as of Nov 2, 2026
$0.382 / 1M tokens Alibaba Cloud Model Studio pricing · as of Nov 2, 2026
Input modalities
Text, Image GPT-6 Luna · as of Nov 2, 2026
Text, Image, Video Qwen3.8 Flash model · as of Nov 1, 2026
Cache readMaker’s official API · global · USD
$0.010 / 1M tokens OpenAI API pricing · as of Nov 2, 2026
$0.014 / 1M tokens Qwen3.8 Flash model · as of Nov 1, 2026
These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.
Full comparison
| GPT-6 Luna OpenAI | Qwen3.8-Flash Alibaba Qwen | |
|---|---|---|
| Overview | ||
| Released | Sep 22, 2026 | Aug 26, 2026 |
| Open weights | — | — |
| Knowledge cutoff | May 2026 | Not stated |
| Specs | ||
| Context | 1.05M | 1M |
| Max input | 922K | 991.81K |
| Max output | 128K | 131.07K |
| Input modalities | Text, Image | Text, Image, Video |
| Output modalities | Text | Text |
| Reasoning | ||
| Reasoning efforts | none, low, medium, high, xhigh, max | low, medium, xhigh |
| Reasoning can be off | ||
| Max thinking budget | Not stated | 262.14K |
| Tool use | ||
| Structured output | ||
| Built-in tools | Not stated | Web search |
| Pricing · per 1M tokens | ||
| Input price | $0.10 | $0.113 |
| Output price | $0.50 | $0.382 |
| Cache read price | $0.010 | $0.014 |
| Cache write price | $0.125 | $0.177Explicit cache |
| Blended price (3 input : 1 output) | $0.20 | $0.18025 |
| Pricing under conditions · per 1M tokens | ||
| Input price, long prompts | $0.20Prompts over 272K tokens | Not offered |
| Output price, long prompts | $0.75Prompts over 272K tokens | Not offered |
| Batch input price | $0.050Batch | Not offered |
| Batch output price | $0.25Batch | Not offered |
| Flex tier input price | $0.050Flex tier | Not offered |
| Flex tier output price | $0.25Flex tier | Not offered |
| Cited scores | ||
| Epoch Capabilities Index | 156.7 | — |
| LMArena Text | 1,441 max effort | — |
| LMArena Text · Coding | 1,506 max effort | — |
| LMArena Vision | 1,216 max effort | — |
| LMArena Text · Chinese | 1,483 max effort | — |
| Epoch AI · GPQA Diamond | 90.5% max effort | — |
| Epoch AI · FrontierMath Tiers 1–3 | 78.9% max effort | — |
Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.
Model details and sources
- GPT-6 Luna → Available
- Qwen3.8-Flash → Available
Cited scores
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Nov 5, 2026
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Oct 28, 2026
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Nov 4, 2026
- Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · Epoch AI Benchmarking Hub data · CC BY 4.0 · as of Nov 2, 2026
- LiveBench (White et al.), release 2026-06-25, livebench.ai, licensed CC BY-SA 4.0. This board, adapted from it, is shared under CC BY-SA 4.0. · LiveBench release 2026-06-25 · CC BY-SA 4.0 · as of Jun 25, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Oct 13, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Oct 28, 2026
- LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · LMArena leaderboard dataset (Hugging Face) · CC BY 4.0 · as of Oct 19, 2026
- Terminal-Bench 4.0 leaderboard (Marten, Shaw et al., Terminal-Bench; harbor-framework/terminal-bench on GitHub), licensed Apache-2.0. · harbor-framework/terminal-bench leaderboard submissions · Apache-2.0 · as of Sep 29, 2026