DeepSeek V4 Pro 0423 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
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲393 K
- Input, $ per 1M tokens
- $0.900
- Output, $ per 1M tokens
- ▲$1.50
- Cache read, $ per 1M
- $0.250
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/24/2026
- Knowledge cutoff
- 2025-05
- API id
- deepseek/deepseek-v4-pro
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: DeepSeek V4 Pro 0423 vs Mistral Large 4?
- Mistral Large 4: cheapest input (22% less than DeepSeek V4 Pro 0423)
- DeepSeek V4 Pro 0423: cheapest output
- Mistral Large 4: the newest (10/06/2026)
Pricing is split: Mistral Large 4 wins on input and DeepSeek V4 Pro 0423 wins on output. All accept 1 M tokens of context. On capabilities, Mistral Large 4 accepts images.
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 $0.60 a month versus DeepSeek V4 Pro 0423 (3% 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
- 3DeepSeek V4 Pro 0423 DeepSeek$0.068
- 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: DeepSeek V4 Pro 0423 vs Mistral Large 4?
Pricing is split: Mistral Large 4 wins on input and DeepSeek V4 Pro 0423 wins on output. All accept 1 M tokens of context. On capabilities, Mistral Large 4 accepts images.
Which is cheaper: DeepSeek V4 Pro 0423 and Mistral Large 4?
Mistral Large 4 is cheaper: $0.700 per million input tokens and $2.10 per million output tokens, versus $0.900 / $1.50 for DeepSeek V4 Pro 0423.
Which has more context: DeepSeek V4 Pro 0423 and Mistral Large 4?
DeepSeek V4 Pro 0423 and Mistral Large 4 accept the same context: 1 M tokens.
Which is newer: DeepSeek V4 Pro 0423 and Mistral Large 4?
Mistral Large 4 was released on 10/06/2026; DeepSeek V4 Pro 0423 on 04/24/2026.
What would 10,000 requests a month cost with DeepSeek V4 Pro 0423 and Mistral Large 4?
With 1,500 input and 400 output tokens per request: DeepSeek V4 Pro 0423: $19.50; 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.