Neither wins outright: Google: Gemini 2.5 Flash (batch) is the pick when you need audio input, Qwen: Qwen3.8 Flash when cost matters at scale.
| Spec | Google: Gemini 2.5 Flash (batch) | Qwen: Qwen3.8 Flash |
|---|---|---|
| Provider | Qwen | |
| Input price (per 1M tokens) | $0.15 | $0.15 |
| Output price (per 1M tokens) | $1.25 | $0.47 |
| Blended price (3:1 input/output) | $0.42 | $0.23 |
| Cheaper than … of all models we track | 56% | 68% |
| Context window | 1.0M tokens (~1,573 pages) | 1M tokens (~1,500 pages) |
| Larger context than … of all models | 81% | 70% |
| Max output per response | 66K tokens (~49,200 words) | 131K tokens (~98,300 words) |
| Input types | file, image, text, audio, video | text, image, video |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-06-17 | 2026-08-26 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | Google: Gemini 2.5 Flash (batch) | Qwen: Qwen3.8 Flash | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $36.25 | $20.65 | Qwen: Qwen3.8 Flash saves $15.60 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $30.50 | $22.70 | Qwen: Qwen3.8 Flash saves $7.80 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $33.00 | $23.64 | Qwen: Qwen3.8 Flash saves $9.36 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $19.50 | $14.82 | Qwen: Qwen3.8 Flash saves $4.68 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $8.75 | $7.97 | Qwen: Qwen3.8 Flash saves $0.78 |
| Capability | Google: Gemini 2.5 Flash (batch) | Qwen: Qwen3.8 Flash | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | ✓ Yes | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | ✓ Yes | — | take speech or audio directly |
| File / PDF input | ✓ Yes | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | ✓ Yes | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | ✓ Yes | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-08-28 | Qwen: Qwen3.8 Flash | $0.15 | $0.47 |
Neither wins outright: Google: Gemini 2.5 Flash (batch) is the pick when you need audio input, Qwen: Qwen3.8 Flash when cost matters at scale. In short: Google: Gemini 2.5 Flash (batch) when you need audio input, you need file / PDF input, you need built-in web search; Qwen: Qwen3.8 Flash when cost matters at scale, you need log-probabilities, you generate long outputs in one go, you want the newer model.
Qwen: Qwen3.8 Flash is cheaper: $0.23 vs $0.42 per 1M tokens at a typical 3:1 input/output mix, 46% less. For 50,000 support conversations a month that is $20.65 against $36.25.
Google: Gemini 2.5 Flash (batch) costs $0.15 per 1M input tokens and $1.25 per 1M output tokens; Qwen: Qwen3.8 Flash costs $0.15 input and $0.47 output. Output tokens are billed separately, so long answers shift the gap.
Google: Gemini 2.5 Flash (batch): 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for Qwen: Qwen3.8 Flash.
Tool calling — Google: Gemini 2.5 Flash (batch): yes, Qwen: Qwen3.8 Flash: yes. JSON-schema structured output — Google: Gemini 2.5 Flash (batch): yes, Qwen: Qwen3.8 Flash: yes.
Yes, both accept image input.
No free variant is listed for either; both are pay-per-token.
Google: Gemini 2.5 Flash (batch) can write up to 66K tokens (about 49,200 words) per response; Qwen: Qwen3.8 Flash up to 131K (about 98,300 words).
Google: Gemini 2.5 Flash (batch) was listed on 2025-06-17; Qwen: Qwen3.8 Flash on 2026-08-26.
Google: Gemini 2.5 Flash (batch): price unchanged since we started tracking it on 2026-08-07. Qwen: Qwen3.8 Flash: input price cut 6% ($0.16 → $0.15/1M) on 2026-08-28.
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...
Full Google: Gemini 2.5 Flash (batch) specs →Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.
Full Qwen: Qwen3.8 Flash specs →