Gemini 4 Carbon vs Mistral Large 4
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $10.00
- Cache read, $ per 1M
- $0.100
- Batch (input / output)
- $1.00 / $5.00
- Tool calling
- Yes
- Released
- ▲11/10/2026
- Knowledge cutoff
- 2026-03
- API id
- google/gemini-4-carbon
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- 262 K
- Input, $ per 1M tokens
- ▲$0.700
- Output, $ per 1M tokens
- ▲$2.10
- Cache read, $ per 1M
- $0.070
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 10/06/2026
- Knowledge cutoff
- —
- API id
- mistralai/mistral-large-4-0
Which is the better API choice: Gemini 4 Carbon vs Mistral Large 4?
- Mistral Large 4: cheapest input (65% less than Gemini 4 Carbon)
- Mistral Large 4: cheapest output
- Gemini 4 Carbon: the newest (11/10/2026)
- Mistral Large 4: most reasoning (estimated)
- Gemini 4 Carbon: the fastest (estimated)
Mistral Large 4 costs 65% less on input and 79% less on output than Gemini 4 Carbon ($0.700 / $2.10 versus $2.00 / $10.00 per million tokens). All accept 1 M tokens of context. On capabilities, only Gemini 4 Carbon accepts audio. Gemini 4 Carbon 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 Mistral Large 4 you save $51.10 a month versus Gemini 4 Carbon (73% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 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
- 2Mistral Large 4 Mistral$0.053
- 3Gemini 4 Carbon Google$0.152
- 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 4 Carbon vs Mistral Large 4?
Mistral Large 4 costs 65% less on input and 79% less on output than Gemini 4 Carbon ($0.700 / $2.10 versus $2.00 / $10.00 per million tokens). All accept 1 M tokens of context. On capabilities, only Gemini 4 Carbon accepts audio. Gemini 4 Carbon offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini 4 Carbon and Mistral Large 4?
Mistral Large 4 is cheaper: $0.700 per million input tokens and $2.10 per million output tokens, versus $2.00 / $10.00 for Gemini 4 Carbon.
Which has more context: Gemini 4 Carbon and Mistral Large 4?
Gemini 4 Carbon and Mistral Large 4 accept the same context: 1 M tokens.
Which is newer: Gemini 4 Carbon and Mistral Large 4?
Gemini 4 Carbon was released on 11/10/2026; Mistral Large 4 on 10/06/2026.
What would 10,000 requests a month cost with Gemini 4 Carbon and Mistral Large 4?
With 1,500 input and 400 output tokens per request: Gemini 4 Carbon: $70.00; Mistral Large 4: $18.90 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.