Gemini 2.5 Flash vs GPT-6.1 Terra
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- ▲$0.300
- Output, $ per 1M tokens
- ▲$2.50
- Cache read, $ per 1M
- $0.030
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 06/17/2025
- Knowledge cutoff
- 2025-01
- API id
- google/gemini-2.5-flash
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- ▲128 K
- Input, $ per 1M tokens
- $1.00
- Output, $ per 1M tokens
- $5.00
- Cache read, $ per 1M
- $0.050
- Batch (input / output)
- $0.500 / $2.50
- Tool calling
- Yes
- Released
- ▲10/26/2026
- Knowledge cutoff
- 2026-06-01
- API id
- openai/gpt-6.1-terra
Which is the better API choice: Gemini 2.5 Flash vs GPT-6.1 Terra?
- Gemini 2.5 Flash: cheapest input (70% less than GPT-6.1 Terra)
- Gemini 2.5 Flash: cheapest output
- GPT-6.1 Terra: largest context (1.1 M)
- GPT-6.1 Terra: the newest (10/26/2026)
- GPT-6.1 Terra: most reasoning (estimated)
- Gemini 2.5 Flash: the fastest (estimated)
Gemini 2.5 Flash costs 70% less on input and 50% less on output than GPT-6.1 Terra ($0.300 / $2.50 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, only Gemini 2.5 Flash accepts audio. GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Gemini 2.5 Flash you save $20.50 a month versus GPT-6.1 Terra (59% less).
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- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4.1 Flash DeepSeek$1.57
- 5DeepSeek V4 Flash 0731 DeepSeek$1.85
- 6Ministral 3 3B 2512 Mistral$1.90
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Gemini 2.5 Flash Google$0.023
- 3GPT-6.1 Terra OpenAI$0.076
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.2 Anthropic$0.608
- 8Claude Fable 5.1 Anthropic$0.760
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See allFrequently asked questions
Which is the better API choice: Gemini 2.5 Flash vs GPT-6.1 Terra?
Gemini 2.5 Flash costs 70% less on input and 50% less on output than GPT-6.1 Terra ($0.300 / $2.50 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). On capabilities, only Gemini 2.5 Flash accepts audio. GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini 2.5 Flash and GPT-6.1 Terra?
Gemini 2.5 Flash is cheaper: $0.300 per million input tokens and $2.50 per million output tokens, versus $1.00 / $5.00 for GPT-6.1 Terra.
Which has more context: Gemini 2.5 Flash and GPT-6.1 Terra?
GPT-6.1 Terra accepts 1.1 M tokens of context; Gemini 2.5 Flash accepts 1 M.
Which is newer: Gemini 2.5 Flash and GPT-6.1 Terra?
GPT-6.1 Terra was released on 10/26/2026; Gemini 2.5 Flash on 06/17/2025.
What would 10,000 requests a month cost with Gemini 2.5 Flash and GPT-6.1 Terra?
With 1,500 input and 400 output tokens per request: Gemini 2.5 Flash: $14.50; GPT-6.1 Terra: $35.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.