Mistral Large 4 vs Qwen Plus 0728
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
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
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- ▲$0.260
- Output, $ per 1M tokens
- ▲$0.780
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 09/08/2025
- Knowledge cutoff
- —
- API id
- qwen/qwen-plus-2025-07-28
Which is the better API choice: Mistral Large 4 vs Qwen Plus 0728?
- Qwen Plus 0728: cheapest input (63% less than Mistral Large 4)
- Qwen Plus 0728: cheapest output
- Mistral Large 4: largest context (1 M)
- Mistral Large 4: the newest (10/06/2026)
- Mistral Large 4: most reasoning (estimated)
- Qwen Plus 0728: the fastest (estimated)
Qwen Plus 0728 costs 63% less on input and 63% less on output than Mistral Large 4 ($0.260 / $0.780 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 accepts images; 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 Qwen Plus 0728 you save $11.88 a month versus Mistral Large 4 (63% 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
- 2Qwen Plus 0728 Qwen$0.020
- 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: Mistral Large 4 vs Qwen Plus 0728?
Qwen Plus 0728 costs 63% less on input and 63% less on output than Mistral Large 4 ($0.260 / $0.780 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 accepts images; Mistral Large 4 has a reasoning mode.
Which is cheaper: Mistral Large 4 and Qwen Plus 0728?
Qwen Plus 0728 is cheaper: $0.260 per million input tokens and $0.780 per million output tokens, versus $0.700 / $2.10 for Mistral Large 4.
Which has more context: Mistral Large 4 and Qwen Plus 0728?
Mistral Large 4 accepts 1 M tokens of context; Qwen Plus 0728 accepts 1 M.
Which is newer: Mistral Large 4 and Qwen Plus 0728?
Mistral Large 4 was released on 10/06/2026; Qwen Plus 0728 on 09/08/2025.
What would 10,000 requests a month cost with Mistral Large 4 and Qwen Plus 0728?
With 1,500 input and 400 output tokens per request: Mistral Large 4: $18.90; Qwen Plus 0728: $7.02 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.