High-volume, cost-sensitive work
Choose Gemini 4 Argon
Gemini 4 Argon costs 17% less on a typical mix of three input tokens for every output token ($4.00 against $4.81 per million tokens).
Gemini 4 Argon vs GPT-5.3-Codex: price, context and capabilities
Choose Gemini 4 Argon for high-volume, cost-sensitive work, writing and code generation, reused prompts and documents (RAG, agents), very long inputs and the latest release. Choose GPT-5.3-Codex for reasoning over long documents.
In short
- Gemini 4 Argon is 17% cheaper than GPT-5.3-Codex at the headline price ($4.00 / 1M tokens vs $4.81 / 1M tokens).
- Gemini 4 Argon reads more per request: 1.05M tokens against 400k.
- Gemini 4 Argon is the newer model (October 2026, against Feb 24, 2026).
Which should you choose?
Each answer below comes straight from the published prices, specifications and independent benchmark results.
Writing and code generation
Choose Gemini 4 Argon
Gemini 4 Argon charges $10.00 per million output tokens, against $14.00 for GPT-5.3-Codex. Output dominates the bill when answers are long.
Reused prompts and documents (RAG, agents)
Choose Gemini 4 Argon
Gemini 4 Argon charges $0.10 per million cached input tokens, against $0.18 for GPT-5.3-Codex.
Very long inputs
Choose Gemini 4 Argon
Gemini 4 Argon reads up to 1.05M tokens per request, against 400k for GPT-5.3-Codex.
Reasoning over long documents
Choose GPT-5.3-Codex
GPT-5.3-Codex scores 83.3% on Long-context reasoning (AA-LCR), against 79.7% for Gemini 4 Argon.
Latest release
Choose Gemini 4 Argon
Gemini 4 Argon is the newer release (October 2026, against Feb 24, 2026 for GPT-5.3-Codex).
Monthly cost at three volumes
| Volume | Gemini 4 Argon | GPT-5.3-Codex | Difference |
|---|---|---|---|
| Prototype: 1M input, 250K output tokens | $4.50 | $5.25 | Gemini 4 Argon, $0.75 less |
| Production: 20M input, 5M output tokens | $90.00 | $105.00 | Gemini 4 Argon, $15.00 less |
| Scale: 500M input, 100M output tokens | $2,000 | $2,275 | Gemini 4 Argon, $275.00 less |
Standard rates, without caching or batch discounts. Volumes are per month.
Specifications side by side
| Gemini 4 Argon | GPT-5.3-Codex | |
|---|---|---|
| Provider | OpenAI | |
| Category | Language models | Language models |
| Status | Generally available | Deprecated |
| Headline price | $4.00 / 1M tokens | $4.81 / 1M tokens |
| Input | $2.00 / 1M tokens | $1.75 / 1M tokens |
| Output | $10.00 / 1M tokens | $14.00 / 1M tokens |
| Cached input | $0.10 / 1M tokens | $0.175 / 1M tokens |
| Context window | 1.05M | 400k |
| Max output | 66k | 128k |
| Released | October 2026 | Feb 24, 2026 |
| Knowledge cutoff | No data | August 2025 |
| Licence | Proprietary | Proprietary |
| Capabilities | Vision, Reasoning, Tool calling, Structured output, Prompt caching, Batch API | Vision, Reasoning, Tool calling, Structured output, Prompt caching, Batch API |
| API model id | gemini-4-argon | gpt-5.3-codex |
Benchmarks side by side
Leader in bold.
| Benchmark | Gemini 4 Argon | GPT-5.3-Codex |
|---|---|---|
| Humanity's Last Exam | 57.1% | 42.5% |
| Long-context reasoning (AA-LCR) | 79.7% | 83.3% |
| Intelligence Index | 52.6 | No data |
| SciCode | 61.8% | No data |
| Terminal-Bench Hard | No data | 53% |
| GPQA Diamond | No data | 91.5% |
| IFBench (instruction following) | No data | 75.4% |
| τ²-Bench (agentic tool use) | No data | 86% |
| MMMU-Pro (visual reasoning) | No data | 78.5% |
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 GPT-5.3-Codex?
Choose Gemini 4 Argon for high-volume, cost-sensitive work, writing and code generation, reused prompts and documents (RAG, agents), very long inputs and the latest release. Choose GPT-5.3-Codex for reasoning over long documents.
Which is cheaper, Gemini 4 Argon or GPT-5.3-Codex?
Gemini 4 Argon is 17% cheaper than GPT-5.3-Codex at the headline price ($4.00 / 1M tokens vs $4.81 / 1M tokens).
Which has the larger context window, Gemini 4 Argon or GPT-5.3-Codex?
Gemini 4 Argon reads more per request: 1.05M tokens against 400k.
What is the difference between Gemini 4 Argon and GPT-5.3-Codex?
Gemini 4 Argon is made by Google and GPT-5.3-Codex by OpenAI. Gemini 4 Argon is 17% cheaper than GPT-5.3-Codex at the headline price ($4.00 / 1M tokens vs $4.81 / 1M tokens). Gemini 4 Argon reads more per request: 1.05M tokens against 400k. Gemini 4 Argon is the newer model (October 2026, against Feb 24, 2026).
How much do Gemini 4 Argon and GPT-5.3-Codex cost per month?
At 20 million input and 5 million output tokens a month, Gemini 4 Argon costs $90.00 and GPT-5.3-Codex costs $105.00, at standard rates.
Which is newer, Gemini 4 Argon or GPT-5.3-Codex?
Gemini 4 Argon was released on October 2026 and GPT-5.3-Codex on Feb 24, 2026.