Lyria 3 Pro Preview 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
Full-length songs are priced at $0.08 per song.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- ▲$0.000
- Output, $ per 1M tokens
- ▲$0.000
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- No
- Released
- 03/25/2026
- Knowledge cutoff
- —
- API id
- google/lyria-3-pro-preview
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: Lyria 3 Pro Preview vs Mistral Large 4?
- Lyria 3 Pro Preview: cheapest input (100% less than Mistral Large 4)
- Lyria 3 Pro Preview: cheapest output
- Mistral Large 4: the newest (10/06/2026)
- Mistral Large 4: most reasoning (estimated)
Lyria 3 Pro Preview costs 100% less on input and 100% less on output than Mistral Large 4 ($0.000 / $0.000 versus $0.700 / $2.10 per million tokens). All accept 1 M tokens of context. On capabilities, Mistral Large 4 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 Lyria 3 Pro Preview you save $18.90 a month versus Mistral Large 4 (100% 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)
- 1Lyria 3 Pro Preview Google$0.000
- 2Claude Haiku 5.5 Anthropic$0.008
- 3Mistral Large 4 Mistral$0.053
- 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: Lyria 3 Pro Preview vs Mistral Large 4?
Lyria 3 Pro Preview costs 100% less on input and 100% less on output than Mistral Large 4 ($0.000 / $0.000 versus $0.700 / $2.10 per million tokens). All accept 1 M tokens of context. On capabilities, Mistral Large 4 has a reasoning mode.
Which is cheaper: Lyria 3 Pro Preview and Mistral Large 4?
Lyria 3 Pro Preview is cheaper: $0.000 per million input tokens and $0.000 per million output tokens, versus $0.700 / $2.10 for Mistral Large 4.
Which has more context: Lyria 3 Pro Preview and Mistral Large 4?
Lyria 3 Pro Preview and Mistral Large 4 accept the same context: 1 M tokens.
Which is newer: Lyria 3 Pro Preview and Mistral Large 4?
Mistral Large 4 was released on 10/06/2026; Lyria 3 Pro Preview on 03/25/2026.
What would 10,000 requests a month cost with Lyria 3 Pro Preview and Mistral Large 4?
With 1,500 input and 400 output tokens per request: Lyria 3 Pro Preview: $0.00; 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.