AI model comparison
Gemini 4 Argon vs GLM 5.3 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Gemini 4 Argon
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
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
- $0.04
- Output / 1M
- $0.90
- 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
17.2x cheaper for a typical chat
Higher intelligence score
Gemini 4 Argon
52.6 vs 41.8 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
Gemini 4 Argon
Released October 13, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemini 4 Argon52.6Coding index
Gemini 4 ArgonNot availableAgentic index
Gemini 4 ArgonNot availablePricing
Gemini 4 Argon vs GLM 5.3 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 4 Argon | |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $0.04 |
| Output tokensPer 1M tokens | $10 | $0.90 |
| Cached input (read)Per 1M tokens | $0.10 | $0.01 |
| Cache writePer 1M tokens | $0.19 | Not available |
| Web searchPer request | $0.014 | Not available |
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 4 Argon$9Coding task
30K in, 4K out
Gemini 4 Argon$100$43 cachedLong document summary
150K in, 2K out
Gemini 4 Argon$320$35 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemini 4 Argon | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 66K tokens | 944K tokens |
| Input types | Audio, File, Image, Text, Video | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low | Max, High, Low |
| Default reasoning effort | Medium | Max |
| Release date | October 13, 2026 | August 26, 2026 |
Features
Supported features
API features available for each model.
| Metric | Gemini 4 Argon | |
|---|---|---|
| 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.
Gemini 4 ArgonView full model details- Gemini 4 Argon vs Claude Opus 5.5
- Gemini 4 Argon vs Claude Sonnet 5.5
- Gemini 4 Argon vs Claude Fable 5.1
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- Gemini 4 Argon vs Claude Opus 5
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- Gemini 4 Argon vs Muse Spark 1.3
- Gemini 4 Argon vs GPT-6 Sol
- Gemini 4 Argon vs GPT-5.6 Sol
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- Gemini 4 Argon vs MiMo-V2.6-Flash
- Gemini 4 Argon vs Step 5 Preview
- Gemini 4 Argon vs Hy4 preview
- GLM 5.3 Flash vs DeepSeek V4.1 Flash
- GLM 5.3 Flash vs Step 5 Preview
- 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 Claude Opus 5.5
- GLM 5.3 Flash vs DeepSeek V4 Flash 0731
- GLM 5.3 Flash vs GLM 5.3
- GLM 5.3 Flash vs Hy3
- GLM 5.3 Flash vs DeepSeek V4 Flash 0423
- GLM 5.3 Flash vs Muse Spark 1.3 Contributor
- GLM 5.3 Flash vs Claude Sonnet 5.5
- GLM 5.3 Flash vs GPT-6.1 Sol
- GLM 5.3 Flash vs Gemini 3.8 Flash
- GLM 5.3 Flash vs GPT-5.6 Luna
- GLM 5.3 Flash vs Claude Haiku 5.5
- GLM 5.3 Flash vs Claude Fable 5.1
- GLM 5.3 Flash vs MiMo-V2.6-Pro
- GLM 5.3 Flash vs GPT-6 Astra
- GLM 5.3 Flash vs DeepSeek V4 Pro 0813
- GLM 5.3 Flash vs Qwen3.8 Max (0902)
- GLM 5.3 Flash vs Grok 4.6
- GLM 5.3 Flash vs Ling 3.1 Flash
- GLM 5.3 Flash vs GPT-5.6 Terra
- GLM 5.3 Flash vs Claude Opus 4.8
- GLM 5.3 Flash vs Qwen3.8 2.4T A95B
- GLM 5.3 Flash vs Qwen3.8 Flash
- GLM 5.3 Flash vs Gemini 3.7 Flash
- GLM 5.3 Flash vs Muse Spark 1.2
- GLM 5.3 Flash vs GPT-6 Luna Pro
- GLM 5.3 Flash vs DeepSeek V4 Flash Vision Exp
- GLM 5.3 Flash vs GLM 5.3 FlashX
- GLM 5.3 Flash vs GPT-5.6 Luna Pro
Our take
GLM 5.3 Flash is 17.2x cheaper for a typical chat. Gemini 4 Argon scores higher on the Artificial Analysis Intelligence Index (52.6 vs 41.8). 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 Gemini 4 Argon or GLM 5.3 Flash cheaper?
GLM 5.3 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 Flash costs $0.04 per 1M input tokens and $0.90 per 1M output tokens, while Gemini 4 Argon costs $2 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, Gemini 4 Argon or GLM 5.3 Flash?
Gemini 4 Argon supports up to 1.05M tokens of context, compared with 1.05M for GLM 5.3 Flash.
Is Gemini 4 Argon smarter than GLM 5.3 Flash?
On the Artificial Analysis Intelligence Index, Gemini 4 Argon scores 52.6 and GLM 5.3 Flash scores 41.8, putting Gemini 4 Argon ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Gemini 4 Argon and GLM 5.3 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemini 4 Argon and GLM 5.3 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Gemini 4 Argon and GLM 5.3 Flash at the same time. Compare the answers side by side and keep the best one.