Head-to-head comparison
GPT-5.4 Nano (OpenAI) and Qwen3.8 Flash (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 9 September 2026
As of 9 September 2026, Qwen3.8 Flash holds the stronger ModelCap Index position (#69 vs #72); Qwen3.8 Flash is 2.7× cheaper per output token ($0.47/1M vs $1.25/1M); and Qwen3.8 Flash offers the longer context window (1M vs 400K tokens).
Evidence: 4 public benchmark observations across 4 boards · publisher-corpus-prior over 182 held-out anchors (19%); measured predecessor qwen/qwen3.5-flash-02-23 less the succession penalty (65%); launch card against 4 resolved peers on 9 rows (16%); exceeds every named peer on 7 of 9 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.7 toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.
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Qwen3.8 Flash ranks higher on the ModelCap Index as of 9 September 2026: #69 against #72. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Qwen3.8 Flash is cheaper on output tokens: $0.47/1M against $1.25/1M. Input tokens are $0.20/1M for GPT-5.4 Nano and $0.15/1M for Qwen3.8 Flash. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.02 for GPT-5.4 Nano versus $0.53 for Qwen3.8 Flash. Qwen3.8 Flash costs 47.8% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Qwen3.8 Flash has the larger context window: 1M tokens against 400K.
AA Terminal-Bench 2.1: GPT-5.4 Nano 60.7%, Qwen3.8 Flash 86.1% — Qwen3.8 Flash leads.
GPT-5.4 Nano: API only. Qwen3.8 Flash: Restricted license. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
ModelCap currently lists 2 API providers for GPT-5.4 Nano and 2 for Qwen3.8 Flash, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.