Gemini 4 Argon vs GPT-6.1 Terra: pricing and benchmarks
GPT-6.1 Terra is 50% cheaper on input tokens ($1.00 vs $2.00 per 1M). GPT-6.1 Terra is 50% cheaper on output tokens ($5.00 vs $10.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-6.1 Terra costs $550.00 a month versus $1,100 for Gemini 4 Argon, 50% less. Epoch AI has not published a capability index score for GPT-6.1 Terra yet.
Which should you choose?
Epoch AI has not published a capability index score for GPT-6.1 Terra yet.
GPT-6.1 Terra costs $2.00 per 1M tokens (3:1 input-to-output mix) vs $4.00 for Gemini 4 Argon, 50% less.
Pricing and specs
| Gemini 4 Argon | GPT-6.1 Terra | |
|---|---|---|
| Provider | OpenAI | |
| API model ID | gemini-4-argon | gpt-6.1-terra |
| Input / 1M tokens | $2.00 | $1.00 |
| Cached input / 1M tokens | $0.10 | $0.05 |
| Output / 1M tokens | $10.00 | $5.00 |
| Long-context rates | — | $2.00 in / $7.50 out above 272K prompt tokens |
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 66K tokens | 128K tokens |
| Batch discount | 50% off | 50% off |
Benchmarks
| Gemini 4 Argon | GPT-6.1 Terra | |
|---|---|---|
| Epoch Capabilities Index | 164.6 | — |
| GPQA Diamond· Science reasoning | 96.4% | — |
| FrontierMath (Tiers 1–3)· Advanced math | 86.0% | — |
| SimpleQA Verified· Factual accuracy | 76.0% | — |
| ARC-AGI-2· Abstract reasoning | — | — |
| DeepSWE· Coding | — | — |
| APEX-Agents· Agentic work | 82.4% | — |
Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks
Monthly cost for real workloads
| Workload | Gemini 4 Argon | GPT-6.1 Terra | Difference |
|---|---|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $700.00 | $350.00 | GPT-6.1 Terra 50% cheaper |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $1,100 | $550.00 | GPT-6.1 Terra 50% cheaper |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $468.00 | $234.00 | GPT-6.1 Terra 50% cheaper |
Cached chatbot The same 100,000-reply support chatbot, but 60% of each prompt (system prompt + conversation history) is served from the prompt cache. | $529.00 | $264.50 | GPT-6.1 Terra 50% cheaper |
Meeting notes 10,000 meetings a month summarized from ~12,000-token transcripts, ~1,000 output tokens each. | $340.00 | $170.00 | GPT-6.1 Terra 50% cheaper |
Bulk translation 200,000 short translations a month, ~800 input and ~800 output tokens each. | $1,920 | $960.00 | GPT-6.1 Terra 50% cheaper |
Content moderation 1,000,000 classifications a month, ~400 input tokens and ~80 output tokens each. | $1,600 | $800.00 | GPT-6.1 Terra 50% cheaper |
Article drafting 300 long-form articles a month written from a ~4,000-token brief and outline, ~5,000 output tokens each. | $17.40 | $8.70 | GPT-6.1 Terra 50% cheaper |
Code review bot 30,000 pull-request reviews a month, ~5,000 input tokens each (30% cached repository context) and ~700 output tokens. | $424.50 | $212.25 | GPT-6.1 Terra 50% cheaper |
Invoice extraction 100,000 documents a month parsed into structured JSON, ~1,200 input and ~250 output tokens each. | $490.00 | $245.00 | GPT-6.1 Terra 50% cheaper |
Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.
Gemini 4 Argon vs GPT-6.1 Terra cost calculator
- $550.00/mo$0.01 / req
- Gemini 4 ArgonGoogle$1,100/mo$0.02 / req
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.
Gemini 4 Argon pricing notes
Google’s flagship reasoning model for complex coding, agents, math and science.
- Introductory price through November 30, 2026. From December 1, 2026: $4 input, $0.20 cached, $20 output per 1M tokens.
- Not available on the Gemini API free tier.
- Output price includes thinking tokens.
- Max output is 65,536 tokens by default and up to 1,048,576 with long decode.
- Implicit caching only; explicit context caching is not supported.
- Priority inference costs 1.8x the standard rate.
GPT-6.1 Terra pricing notes
OpenAI’s fast, efficient GPT-6.1 model for visual reasoning, computer use and writing, at half GPT-6.1 Sol’s price.
- Cache writes are billed at $1.25 (30-minute) or $2.50 (12-hour) per 1M tokens.
- Prompts over 272K input tokens use the long-context rates.
- Fast mode costs 2x the standard rate; Flex costs half.
Frequently asked questions
- Is Gemini 4 Argon cheaper than GPT-6.1 Terra?
- GPT-6.1 Terra is 50% cheaper on input tokens ($1.00 vs $2.00 per 1M). GPT-6.1 Terra is 50% cheaper on output tokens ($5.00 vs $10.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-6.1 Terra costs $550.00 a month versus $1,100 for Gemini 4 Argon, 50% less.
- Which is more capable, Gemini 4 Argon or GPT-6.1 Terra?
- Epoch AI has not published a capability index score for GPT-6.1 Terra yet.
- How much does Gemini 4 Argon cost per 1M tokens?
- Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 per 1M output tokens, and $0.10 per 1M cached input tokens on Google’s standard tier.
- How much does GPT-6.1 Terra cost per 1M tokens?
- GPT-6.1 Terra costs $1.00 per 1M input tokens and $5.00 per 1M output tokens, and $0.05 per 1M cached input tokens on OpenAI’s standard tier.
- Which has the larger context window, Gemini 4 Argon or GPT-6.1 Terra?
- GPT-6.1 Terra has the larger context window: 1.05M tokens versus 1.05M for Gemini 4 Argon.