Gemini 4 Argon vs Mistral Large 4
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 22, 2026· 222 models
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.
- 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
- ▲10/13/2026
- Knowledge cutoff
- 2026-03
- API id
- google/gemini-4-argon
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
- ▲$1.36
- Output, $ per 1M tokens
- ▲$4.18
- Cache read, $ per 1M
- $0.140
- 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 Argon vs Mistral Large 4?
- Mistral Large 4: cheapest input (32% less than Gemini 4 Argon)
- Mistral Large 4: cheapest output
- Gemini 4 Argon: the newest (10/13/2026)
- Mistral Large 4: most reasoning (estimated)
- Gemini 4 Argon: the fastest (estimated)
Mistral Large 4 costs 32% less on input and 58% less on output than Gemini 4 Argon ($1.36 / $4.18 versus $2.00 / $10.00 per million tokens). All accept 1 M tokens of context. On capabilities, only Gemini 4 Argon accepts audio. Gemini 4 Argon 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 $32.88 a month versus Gemini 4 Argon (47% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Clip Preview Google$0.00
- 2Lyria 3 Pro Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4Qwen3.5-9B Qwen$1.72
- 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)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Mistral Large 4 Mistral$0.103
- 3Gemini 4 Argon Google$0.152
- 4Claude Sonnet 5.5 Anthropic$0.152
- 5Claude Sonnet 5 Anthropic$0.152
- 6Claude Opus 5.5 Anthropic$0.304
- 7Claude Opus 5 Anthropic$0.380
- 8Claude Fable 5.1 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Gemini 4 Argon vs Mistral Large 4?
Mistral Large 4 costs 32% less on input and 58% less on output than Gemini 4 Argon ($1.36 / $4.18 versus $2.00 / $10.00 per million tokens). All accept 1 M tokens of context. On capabilities, only Gemini 4 Argon accepts audio. Gemini 4 Argon offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini 4 Argon and Mistral Large 4?
Mistral Large 4 is cheaper: $1.36 per million input tokens and $4.18 per million output tokens, versus $2.00 / $10.00 for Gemini 4 Argon.
Which has more context: Gemini 4 Argon and Mistral Large 4?
Gemini 4 Argon and Mistral Large 4 accept the same context: 1 M tokens.
Which is newer: Gemini 4 Argon and Mistral Large 4?
Gemini 4 Argon was released on 10/13/2026; Mistral Large 4 on 10/06/2026.
What would 10,000 requests a month cost with Gemini 4 Argon and Mistral Large 4?
With 1,500 input and 400 output tokens per request: Gemini 4 Argon: $70.00; Mistral Large 4: $37.12 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.