Grok 4.7 vs Ministral 3 3B 2512
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲500 K tokens
- Max output
- ▲450 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $6.00
- Cache read, $ per 1M
- $0.500
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲09/21/2026
- Knowledge cutoff
- 2026-05
- API id
- x-ai/grok-4.7
The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 131 K tokens
- Max output
- 105 K
- Input, $ per 1M tokens
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.100
- Cache read, $ per 1M
- $0.010
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 12/03/2025
- Knowledge cutoff
- —
- API id
- mistralai/ministral-3b-2512
Which is the better API choice: Grok 4.7 vs Ministral 3 3B 2512?
- Ministral 3 3B 2512: cheapest input (95% less than Grok 4.7)
- Ministral 3 3B 2512: cheapest output
- Grok 4.7: largest context (500 K)
- Grok 4.7: the newest (09/21/2026)
- Grok 4.7: most reasoning (estimated)
- Ministral 3 3B 2512: the fastest (estimated)
Ministral 3 3B 2512 costs 95% less on input and 98% less on output than Grok 4.7 ($0.100 / $0.100 versus $2.00 / $6.00 per million tokens). Grok 4.7 accepts more context (500 K). On capabilities, Grok 4.7 has a reasoning mode.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Ministral 3 3B 2512 you save $52.10 a month versus Grok 4.7 (96% less).
The 6 cheapest for this scenario (chat, last 12 months)
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- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
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)
- 1Ministral 3 3B 2512 Mistral$0.008
- 2Grok 4.7 xAI$0.152
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Grok 4.7 vs Ministral 3 3B 2512?
Ministral 3 3B 2512 costs 95% less on input and 98% less on output than Grok 4.7 ($0.100 / $0.100 versus $2.00 / $6.00 per million tokens). Grok 4.7 accepts more context (500 K). On capabilities, Grok 4.7 has a reasoning mode.
Which is cheaper: Grok 4.7 and Ministral 3 3B 2512?
Ministral 3 3B 2512 is cheaper: $0.100 per million input tokens and $0.100 per million output tokens, versus $2.00 / $6.00 for Grok 4.7.
Which has more context: Grok 4.7 and Ministral 3 3B 2512?
Grok 4.7 accepts 500 K tokens of context; Ministral 3 3B 2512 accepts 131 K.
Which is newer: Grok 4.7 and Ministral 3 3B 2512?
Grok 4.7 was released on 09/21/2026; Ministral 3 3B 2512 on 12/03/2025.
What would 10,000 requests a month cost with Grok 4.7 and Ministral 3 3B 2512?
With 1,500 input and 400 output tokens per request: Grok 4.7: $54.00; Ministral 3 3B 2512: $1.90 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.