AI model comparison
Kimi K3.1 Pro vs Gemini 4 Argon
Side by side comparison of Kimi K3.1 Pro and Gemini 4 Argon on pricing, benchmark scores, context window, and more.
Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
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
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Tie
Same price for a typical chat
Higher intelligence score
Kimi K3.1 Pro
55.1 vs 52.6 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
Kimi K3.1 Pro
Released October 23, 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
Kimi K3.1 Pro vs Gemini 4 Argon API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 4 Argon | |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $2 |
| Output tokensPer 1M tokens | $10 | $10 |
| Cached input (read)Per 1M tokens | $0.20 | $0.10 |
| Cache writePer 1M tokens | Not available | $0.19 |
| 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 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 | 944K tokens | 944K tokens |
| Input types | Image, Text, Video | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low, None | High, Medium, Low |
| Default reasoning effort | Max | Medium |
| Release date | October 23, 2026 | October 13, 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 | Not supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Not 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.
- Kimi K3.1 Pro vs Claude Opus 5.5
- Kimi K3.1 Pro vs Claude Sonnet 5.5
- Kimi K3.1 Pro vs Claude Fable 5.1
- Kimi K3.1 Pro vs GPT-6 Astra
- Kimi K3.1 Pro vs GPT-6.1 Sol
- Kimi K3.1 Pro vs Claude Opus 5
- Kimi K3.1 Pro vs Claude Fable 5
- Kimi K3.1 Pro vs Muse Spark 1.3
- Kimi K3.1 Pro vs GPT-6 Sol
- Kimi K3.1 Pro vs Grok 4.7
- Kimi K3.1 Pro vs Kimi K3
- Kimi K3.1 Pro vs GLM 5.3 Flash
- Kimi K3.1 Pro vs DeepSeek V4.1 Flash 1017
- Kimi K3.1 Pro vs MiMo-V2.6-Flash
- Kimi K3.1 Pro vs DeepSeek V4.1 Flash
- Kimi K3.1 Pro vs Hy4 preview
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
- Gemini 4 Argon vs GPT-6 Astra
- Gemini 4 Argon vs GPT-6.1 Sol
- Gemini 4 Argon vs Claude Opus 5
- Gemini 4 Argon vs Claude Fable 5
- Gemini 4 Argon vs Muse Spark 1.3
- Gemini 4 Argon vs GPT-6 Sol
- Gemini 4 Argon vs Grok 4.7
- Gemini 4 Argon vs Kimi K3
- Gemini 4 Argon vs DeepSeek V4.1 Flash 1017
- Gemini 4 Argon vs DeepSeek V4.1 Flash
- Gemini 4 Argon vs GLM 5.3 Flash
- Gemini 4 Argon vs Hy4 preview
- Gemini 4 Argon vs MiMo-V2.6-Flash
- Gemini 4 Argon vs Muse Wonder
Our take
Kimi K3.1 Pro scores higher on the Artificial Analysis Intelligence Index (55.1 vs 52.6). 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 Kimi K3.1 Pro or Gemini 4 Argon cheaper?
Kimi K3.1 Pro and Gemini 4 Argon cost the same for a typical chat (2K input tokens and 500 output tokens). Kimi K3.1 Pro costs $2 per 1M input tokens and $10 per 1M output tokens, and Gemini 4 Argon costs $2 per 1M input tokens and $10 per 1M output tokens.
Which has a bigger context window, Kimi K3.1 Pro or Gemini 4 Argon?
Kimi K3.1 Pro supports up to 1.05M tokens of context, compared with 1.05M for Gemini 4 Argon.
Is Kimi K3.1 Pro smarter than Gemini 4 Argon?
On the Artificial Analysis Intelligence Index, Kimi K3.1 Pro scores 55.1 and Gemini 4 Argon scores 52.6, putting Kimi K3.1 Pro ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Kimi K3.1 Pro and Gemini 4 Argon at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Kimi K3.1 Pro and Gemini 4 Argon answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Kimi K3.1 Pro and Gemini 4 Argon at the same time. Compare the answers side by side and keep the best one.