AI model comparison
GLM 5.3 Flash vs Gemini 3.7 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Z.ai
GLM 5.3 Flash
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.
- Input / 1M
- $0.15
- Output / 1M
- $0.50
- Context
- 1.05M
Gemini 3.7 Flash
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.
- Input / 1M
- $0.75
- Output / 1M
- $3.75
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.3 Flash
6.1x cheaper for a typical chat
Higher intelligence score
GLM 5.3 Flash
41.8 vs 39.6 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
GLM 5.3 Flash
Released August 26, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemini 3.7 Flash39.6Coding index
Gemini 3.7 Flash71.5Agentic index
Gemini 3.7 FlashNot availablePricing
GLM 5.3 Flash vs Gemini 3.7 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 3.7 Flash | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.75 |
| Output tokensPer 1M tokens | $0.50 | $3.75 |
| Cached input (read)Per 1M tokens | $0.03 | $0.08 |
| Cache writePer 1M tokens | Not available | $0.04 |
| Web searchPer request | Not available | $0.014 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Gemini 3.7 Flash$3.38Coding task
30K in, 4K out
Gemini 3.7 Flash$37.50$17.25 cachedLong document summary
150K in, 2K out
Gemini 3.7 Flash$120$18.75 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemini 3.7 Flash | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 66K tokens |
| Input types | Image, Text, Video | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | High, Medium, Low |
| Default reasoning effort | Max | Medium |
| Release date | August 26, 2026 | August 13, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemini 3.7 Flash | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- GLM 5.3 Flash vs DeepSeek V4.1 Flash
- GLM 5.3 Flash vs MiMo-V2.6-Flash
- GLM 5.3 Flash vs Hy4 preview
- GLM 5.3 Flash vs GPT-6 Luna
- GLM 5.3 Flash vs DeepSeek V4 Flash 0731
- GLM 5.3 Flash vs Claude Opus 5.5
- GLM 5.3 Flash vs GLM 5.3
- GLM 5.3 Flash vs DeepSeek V4 Flash 0423
- GLM 5.3 Flash vs Step 5 Preview
- GLM 5.3 Flash vs Gemini 3.8 Flash
- GLM 5.3 Flash vs Hy3
- GLM 5.3 Flash vs GPT-5.6 Luna
- GLM 5.3 Flash vs GPT-6.1 Sol
- GLM 5.3 Flash vs Muse Spark 1.3 Contributor
- GLM 5.3 Flash vs Claude Sonnet 5.5
- GLM 5.3 Flash vs Claude Fable 5.1
- GLM 5.3 Flash vs GPT-6 Astra
- GLM 5.3 Flash vs MiMo-V2.6-Pro
- GLM 5.3 Flash vs Claude Opus 5
- GLM 5.3 Flash vs DeepSeek V4 Pro 0813
- GLM 5.3 Flash vs Claude Haiku 5.5
- GLM 5.3 Flash vs Ling 3.1 Flash
- GLM 5.3 Flash vs GPT-6 Luna Pro
- GLM 5.3 Flash vs Muse Spark 1.2
- GLM 5.3 Flash vs Qwen3.8 Flash
- GLM 5.3 Flash vs Qwen3.7 Flash
- GLM 5.3 Flash vs DeepSeek V4 Flash Vision Exp
- GLM 5.3 Flash vs Mistral Nemo
- GLM 5.3 Flash vs GLM 5.3 FlashX
- GLM 5.3 Flash vs GPT-5.6 Luna Pro
Gemini 3.7 FlashView full model details- Gemini 3.7 Flash vs GLM 5.3
- Gemini 3.7 Flash vs Ling 3.1 Flash
- Gemini 3.7 Flash vs Gemini 3.8 Flash
- Gemini 3.7 Flash vs DeepSeek V4.1 Flash
- Gemini 3.7 Flash vs Qwen3.8 2.4T A95B
- Gemini 3.7 Flash vs Muse Spark 1.2
- Gemini 3.7 Flash vs Grok 4.5
- Gemini 3.7 Flash vs Claude Sonnet 5
- Gemini 3.7 Flash vs GPT-5.6 Luna
- Gemini 3.7 Flash vs Gemini 3.6 Flash
Our take
GLM 5.3 Flash is 6.1x cheaper for a typical chat. GLM 5.3 Flash scores higher on the Artificial Analysis Intelligence Index (41.8 vs 39.6). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GLM 5.3 Flash or Gemini 3.7 Flash cheaper?
GLM 5.3 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 Flash costs $0.15 per 1M input tokens and $0.50 per 1M output tokens, while Gemini 3.7 Flash costs $0.75 per 1M input tokens and $3.75 per 1M output tokens.
Which has a bigger context window, GLM 5.3 Flash or Gemini 3.7 Flash?
GLM 5.3 Flash supports up to 1.05M tokens of context, compared with 1.05M for Gemini 3.7 Flash.
Is GLM 5.3 Flash smarter than Gemini 3.7 Flash?
On the Artificial Analysis Intelligence Index, GLM 5.3 Flash scores 41.8 and Gemini 3.7 Flash scores 39.6, putting GLM 5.3 Flash ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GLM 5.3 Flash and Gemini 3.7 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 Flash and Gemini 3.7 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 Flash and Gemini 3.7 Flash at the same time. Compare the answers side by side and keep the best one.