High-volume, cost-sensitive work
Either one
Both cost $4.00 per million tokens on a typical mix of three input tokens for every output token.
Gemini 4 Argon vs Kimi K3.1 Pro: price, context and capabilities
Choose Gemini 4 Argon for reused prompts and documents (RAG, agents); on the other points the two are level or the data is missing.
In short
- Both cost the same at the headline price ($4.00 / 1M tokens).
- Both accept 1.05M tokens per request.
- Only Gemini 4 Argon offers batch api.
Which should you choose?
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Reused prompts and documents (RAG, agents)
Choose Gemini 4 Argon
Gemini 4 Argon charges $0.10 per million cached input tokens, against $0.20 for Kimi K3.1 Pro.
Monthly cost at three volumes
| Volume | Gemini 4 Argon | Kimi K3.1 Pro | Difference |
|---|---|---|---|
| Prototype: 1M input, 250K output tokens | $4.50 | $4.50 | = |
| Production: 20M input, 5M output tokens | $90.00 | $90.00 | = |
| Scale: 500M input, 100M output tokens | $2,000 | $2,000 | = |
Standard rates, without caching or batch discounts. Volumes are per month.
Specifications side by side
| Gemini 4 Argon | Kimi K3.1 Pro | |
|---|---|---|
| Provider | Moonshot AI | |
| Category | Language models | Language models |
| Status | Generally available | Generally available |
| Headline price | $4.00 / 1M tokens | $4.00 / 1M tokens |
| Input | $2.00 / 1M tokens | $2.00 / 1M tokens |
| Output | $10.00 / 1M tokens | $10.00 / 1M tokens |
| Cached input | $0.10 / 1M tokens | $0.20 / 1M tokens |
| Context window | 1.05M | 1.05M |
| Max output | 66k | 944k |
| Released | October 2026 | Oct 23, 2026 |
| Knowledge cutoff | No data | No data |
| Licence | Proprietary | Proprietary |
| Capabilities | Vision, Reasoning, Tool calling, Structured output, Prompt caching, Batch API | Vision, Reasoning, Tool calling, Structured output, Prompt caching |
| API model id | gemini-4-argon | kimi-k3.1-pro |
Benchmarks side by side
Leader in bold.
| Benchmark | Gemini 4 Argon | Kimi K3.1 Pro |
|---|---|---|
| Intelligence Index | 52.6 | No data |
| SciCode | 61.8% | No data |
| Humanity's Last Exam | 57.1% | No data |
| Long-context reasoning (AA-LCR) | 79.7% | No data |
Independent evaluations by Artificial Analysis, run the same way for every model, at the reasoning setting shown. Percentages unless marked as an index.
Frequently asked questions
Should I choose Gemini 4 Argon or Kimi K3.1 Pro?
Choose Gemini 4 Argon for reused prompts and documents (RAG, agents); on the other points the two are level or the data is missing.
Which is cheaper, Gemini 4 Argon or Kimi K3.1 Pro?
Both cost the same at the headline price ($4.00 / 1M tokens).
Which has the larger context window, Gemini 4 Argon or Kimi K3.1 Pro?
Both accept 1.05M tokens per request.
What is the difference between Gemini 4 Argon and Kimi K3.1 Pro?
Gemini 4 Argon is made by Google and Kimi K3.1 Pro by Moonshot AI. Both cost the same at the headline price ($4.00 / 1M tokens). Both accept 1.05M tokens per request. Only Gemini 4 Argon offers batch api.
How much do Gemini 4 Argon and Kimi K3.1 Pro cost per month?
At 20 million input and 5 million output tokens a month, Gemini 4 Argon costs $90.00 and Kimi K3.1 Pro costs $90.00, at standard rates.