All tasks / Comparisons

Gemini 3.8 Flash vs Qwen3.8-Max

Compared only on public benchmark results, across the 6 tasks where both are listed: Gemini 3.8 Flash is a tier higher in 3 of 6 shared tasks, Qwen3.8-Max in 2, they share a tier in 1.

Gemini 3.8 Flash

Google's Flash tier of faster, lower-cost Gemini models, aimed at agents, coding and high-volume use.

Vendor
Google
Weights
Closed: API and apps only
Released
2 Sep 2026
API price
$0.75 in / $3.75 out per 1M tokens
License
proprietary
Last verified
18 Oct 2026

Alternatives to Gemini 3.8 Flash

Qwen3.8-Max

Alibaba's hosted Qwen3.8-Max: the API version takes text, image and video input with a 1M-token context.

Vendor
Alibaba (Qwen)
Weights
Closed: API and apps only
Released
2 Aug 2026
API price
$2 in / $6 out per 1M tokens (Alibaba Cloud Model Studio list price quoted by The Batch (cached input $0.25/1M); OpenRouter lists the same for the qwen3.8-max-0902 snapshot. The higher-throughput 'Max Prime' SKU (2026-09-23) costs $4/$12.)
License
proprietary
Last verified
18 Oct 2026

Alternatives to Qwen3.8-Max

Task by task

TaskGemini 3.8 FlashQwen3.8-MaxHigher tier
Chat & assistants
Models
S1,496 on LMArena Text Arena (overall, style control) · CloudA1,482 on LMArena Text Arena (overall, style control) · CloudGemini 3.8 Flash
Search & research
Models
–No public result yet · CloudS1,230 on LMArena Search Arena (style control) · CloudQwen3.8-Max
Writing
Models
S1,487 on LMArena Text Arena: Creative Writing (style control) · CloudA1,469 on LMArena Text Arena: Creative Writing (style control) · CloudGemini 3.8 Flash
Coding
Models
C1,586 on LMArena WebDev / Code Arena (overall) · CloudB1,674 on LMArena WebDev / Code Arena (overall) · CloudQwen3.8-Max
Image understanding
Models
S1,289 on LMArena Vision Arena (overall, style control) · CloudS1,301 on LMArena Vision Arena (overall, style control) · CloudSame tier
Workflow automation
Models
B59.9% on AutomationBench-AA (Artificial Analysis) · CloudC56.2% on AutomationBench-AA (Artificial Analysis) · CloudGemini 3.8 Flash

A tier spans a range of scores, and small gaps on a leaderboard are often within its margin of error, so only a different tier counts as ahead. How we rank.

Same benchmark, both results

BenchmarkGemini 3.8 FlashQwen3.8-MaxSnapshot
Artificial Analysis Intelligence Index
Composite index over Artificial Analysis' own evaluation suite, higher is better
414519 Oct 2026
Artificial Analysis MMMU-Pro (independent evaluation)
Accuracy on MMMU-Pro (multi-discipline multimodal questions over images), as run by Artificial Analysis, higher is better
85.6%82.8%19 Oct 2026
AutomationBench-AA (Artificial Analysis)
Score: average share of each task's objectives completed across 657 business-workflow tasks in 40 simulated SaaS apps via REST APIs; a task with any guardrail (business-rule) violation scores zero, higher is better
59.9%56.2%19 Oct 2026
LMArena Text Arena (overall, style control)
Arena score (Bradley-Terry rating from pairwise human votes, style-controlled default view), higher is better
1,4961,48215 Oct 2026
LMArena Text Arena: Creative Writing (style control)
Arena score (Bradley-Terry rating from pairwise human votes, creative-writing prompts only, style-controlled view), higher is better
1,4871,46915 Oct 2026
LMArena Vision Arena (overall, style control)
Arena score (Bradley-Terry rating from pairwise human votes on image + text prompts, style-controlled view), higher is better
1,2891,3019 Oct 2026
LMArena WebDev / Code Arena (overall)
Arena score (Bradley-Terry rating from pairwise human votes on web-app generation), higher is better
1,5861,67418 Oct 2026