GPT-5.6 Luna Pro vs Qwen3.8 Omni Flash
Prices checked
GPT-5.6 Luna Pro takes 3 of 5 rounds against Qwen3.8 Omni Flash. Qwen3.8 Omni Flash counters on price: $0.15 per million tokens against $0.23, for 1M context instead of 1.1M.
OpenAIWins 3 roundsGPT-5.6 Luna Pro
1.1M context · tool calling · reads images
$0.23/M tokensOpenAI's own price · 9.6¢ per 1,000 pages
Alibaba CloudQwen3.8 Omni Flash
1M context · tool calling · reads images
$0.15/M tokensCheapest price, at Eden AI · 7.7¢ per 1,000 pages
Maker's price in (lower wins)
$0.10/M
$0.15/M
Maker's price out (lower wins)
$0.60/M
$0.47/M
Cheapest price (lower wins)
none below the maker
$0.15/M at Eden AI
Maker's price, blended (lower wins)
$0.23/M
$0.23/M
Cost per 1,000 pages (lower wins)
9.6¢
7.7¢
Context
1.1M tokens
1M tokens
Open weights
not published
no
Tool calling
yes
yes
Structured output
yes
yes
Reads images
yes
yes
Reasoning
yes
yes
Released
9 Jul 2026
17 Sept 2026
Providers selling it
10
15
Price we measure against
the maker's own
the maker's own
Trains on your prompts (no is better)
no provider to check
not published
Providers selling both · 4
Kilo Gateway$0.45 / $0.23
NanoGPT$0.45 / $0.23
Nous Portal$0.45 / $0.23
OpenRouter$0.45 / $0.23
GPT-5.6 Luna Pro, then Qwen3.8 Omni Flash, per million tokens.
Go further
Add a third or fourth model, or change the weighting, in the tool.
Frequently asked
- Which is cheaper, GPT-5.6 Luna Pro or Qwen3.8 Omni Flash?
- Qwen3.8 Omni Flash, at $0.15 per million tokens against $0.23 for GPT-5.6 Luna Pro, blended 3 in : 1 out, read on 31 Oct 2026.
- Where is each one cheapest?
- GPT-5.6 Luna Pro: nobody sells it below the maker's own price with a stated reason, so $0.23 is the number to beat. Qwen3.8 Omni Flash: $0.15 at Eden AI.
- Can I buy both from one provider?
- Yes. 4 providers sell both: Kilo Gateway, NanoGPT, Nous Portal, OpenRouter. The cheapest of them for the two together is Kilo Gateway.
- Which holds more context?
- GPT-5.6 Luna Pro, at 1.1M tokens against 1M.
Prices exclude tax, read 31 Oct 2026 from each provider's own catalog. They are per M tokens, blended 3 in : 1 out, and a page is 600 tokens in and 60 out. Bars are scaled to the larger value in each row.
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