Gemini 3 Flash Preview
Google · text, image, audio → text
gemini-3-flash-preview is Google's latest released, most balanced model, excelling in speed, scale, and cutting-edge intelligence.
Input$0.5 /M
Output$3 /M
Cache read$0.05 /M
← ModelsGemini 3 Flash Preview
GLM 5.2
Gemini 3 Flash Preview vs GLM 5.2
Compare Gemini 3 Flash Preview from Google and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Gemini 3 Flash PreviewGLM 5.2+ Add model · 2/4
36% off
GLM 5.2
Z.AI · text → text
GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Input$1.1268$0.7212 /M
Output$3.9438$2.524 /M
Cache read$0.2817$0.1803 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Gemini 3 Flash Preview
GLM 5.2
Input /M
$0.5
$1.1268$0.7212−36%
Output /M
$3
$3.9438$2.524−36%
Cache read /M
$0.05
$0.2817$0.1803−36%
Context length
1,048,576
1,000,000
Max output
0
128,000
Time to First Token
4.0 s
0.7 s
Throughput
178.8 tok/s
35.9 tok/s
Modalities
textimageaudio
text
Supported Parameters
thinkingwebtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
-
June 16, 2026
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
gemini-3-flash-previewglm-5.2
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
gemini-3-flash-previewglm-5.2
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
gemini-3-flash-previewglm-5.2
1420146015001540
Overall
14721473
Coding
15091509
Math
14761476
Hard prompts
14921492
Instruction following
14581465
Multi-turn
14691483
Creative writing
14511459
Longer query
14751482
Chinese
15171521
English
14751480
WebDev Arena
gemini-3-flash-previewglm-5.2
1380146015401620
Overall
14371587
React
14301599
HTML
14401539
Gaming
14521625
Simulations
14171612
Data analytics
14131543
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Gemini 3 Flash Preview
$75.00 /mo
GLM 5.2
$127$81.13 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Gemini 3 Flash Preview, GLM 5.2?
GLM 5.2: $2.524/M output tokens; Gemini 3 Flash Preview: $3/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
GLM 5.2: 1509; Gemini 3 Flash Preview: 1509 (LMArena coding leaderboard).
Which responds faster?
GLM 5.2: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Gemini 3 Flash Preview accepts 1,048,576 and GLM 5.2 accepts 1,000,000 input tokens.
Which one generates tokens faster?
Gemini 3 Flash Preview at 178.8 tok/s and GLM 5.2 at 35.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Gemini 3 Flash Preview accepts text, image and audio input and supports thinking, web search, tool calling, function calling and structured outputs; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Can I call Gemini 3 Flash Preview and GLM 5.2 with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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