Gemma 4 31B 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
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.200
- Output, $ per 1M tokens
- ▲$0.400
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/02/2026
- Knowledge cutoff
- 2025-01
- API id
- google/gemma-4-31b-it
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: Gemma 4 31B vs GPT-6.1 Terra?
- Gemma 4 31B: cheapest input (80% less than GPT-6.1 Terra)
- Gemma 4 31B: cheapest output
- GPT-6.1 Terra: largest context (1.1 M)
- GPT-6.1 Terra: the newest (10/26/2026)
Gemma 4 31B costs 80% less on input and 92% less on output than GPT-6.1 Terra ($0.200 / $0.400 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). 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 Gemma 4 31B you save $30.40 a month versus GPT-6.1 Terra (87% less).
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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
- 2Gemma 4 31B Google$0.015
- 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: Gemma 4 31B vs GPT-6.1 Terra?
Gemma 4 31B costs 80% less on input and 92% less on output than GPT-6.1 Terra ($0.200 / $0.400 versus $1.00 / $5.00 per million tokens). GPT-6.1 Terra accepts more context (1.1 M). GPT-6.1 Terra offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemma 4 31B and GPT-6.1 Terra?
Gemma 4 31B is cheaper: $0.200 per million input tokens and $0.400 per million output tokens, versus $1.00 / $5.00 for GPT-6.1 Terra.
Which has more context: Gemma 4 31B and GPT-6.1 Terra?
GPT-6.1 Terra accepts 1.1 M tokens of context; Gemma 4 31B accepts 262 K.
Which is newer: Gemma 4 31B and GPT-6.1 Terra?
GPT-6.1 Terra was released on 10/26/2026; Gemma 4 31B on 04/02/2026.
What would 10,000 requests a month cost with Gemma 4 31B and GPT-6.1 Terra?
With 1,500 input and 400 output tokens per request: Gemma 4 31B: $4.60; 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.