// head_to_head
Gemini 3.8 Flash vs Qwen3.5-27B
Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.
Qwen3.5-27B is the cheaper of the two; neither can be ranked on quality here.
Qwen3.5-27B does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.
Gemini 3.8 Flash
- Blended / 1M
- $1.65
- Context
- 1.0M
- Released
- Sep 2, 2026
- Overall score
- 59.2
qwen
Qwen3.5-27B
- Blended / 1M
- $0.845
- Context
- 262K
- Released
- Feb 25, 2026
- Overall score
- Not evaluated
Specs and pricing
| Metric | Gemini 3.8 Flash | Qwen3.5-27B |
|---|---|---|
| LiveBench overall Weighted mean of the seven LiveBench category scores, 0–100. Higher is better. | 59.2 | — |
| Cost per point Measured benchmark spend divided by overall score — dollars per point of capability. | $0.0166 | — |
| Blended price / 1M 3:1 input:output mix, the usual shape of production traffic. | $1.65 | $0.845win |
| Input price / 1M | $0.825 | $0.260win |
| Output price / 1M | $4.13 | $2.60win |
| Cached input / 1M Price of an input token served from the prompt cache, where the provider publishes one. | $0.083 | — |
| Context window | 1.0Mwin | 262K |
| Max output tokens | 66K | 82K |
Benchmarks by category
An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Gemini 3.8 Flash on top, Qwen3.5-27B below, both out of 100.
What each one costs to run
Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.
| Workload | Gemini 3.8 Flash | Qwen3.5-27B |
|---|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $474.54/mo | $270.40/mo |
| RAG assistant 8K in / 600 out × 100K requests | $610.50/mo | $364.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $574.20/mo | $416.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $1,097/mo | $455.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $2,104/mo | $910.00/mo |
Which should you pick?
You need to fit large documents in one call
Gemini 3.8 Flash
Wider context window — 1.0M against 262K.
You are cost-constrained
Qwen3.5-27B
Cheaper on blended list price at $0.845 per million tokens.
Gemini 3.8 Flash vs Qwen3.5-27B FAQ
Which is better, Gemini 3.8 Flash or Qwen3.5-27B?
Qwen3.5-27B is the cheaper of the two; neither can be ranked on quality here. Qwen3.5-27B does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.
Is Gemini 3.8 Flash cheaper than Qwen3.5-27B?
Qwen3.5-27B is cheaper. On a 3:1 input:output blend, Gemini 3.8 Flash lists at $1.65 per million tokens and Qwen3.5-27B at $0.845 — Qwen3.5-27B is 2.0× cheaper. Input and output are priced separately — Gemini 3.8 Flash charges $0.825 in and $4.13 out, Qwen3.5-27B charges $0.260 and $2.60 — so the model that looks cheaper flips depending on how output-heavy your workload is.
Does Gemini 3.8 Flash or Qwen3.5-27B have a bigger context window?
Gemini 3.8 Flash has the larger context window: 1.0M for Gemini 3.8 Flash against 262K for Qwen3.5-27B. Note that a window you can fill is not a window you should fill — retrieval quality usually degrades well before the limit, and you pay for every token you put in it.
Do Gemini 3.8 Flash and Qwen3.5-27B support prompt caching?
Gemini 3.8 Flash publishes a cached-input rate of $0.083 per million tokens against a full input rate of $0.825. The catalogue lists no separate cached rate for Qwen3.5-27B, which means the provider does not price it separately here — not that caching is unavailable.
Related comparisons
How these numbers are produced
- Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores — LiveBench release 2026-10-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
- “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.