Mistral Medium 3.5 vs Qwen Plus 0728
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲210 K
- Input, $ per 1M tokens
- $1.50
- Output, $ per 1M tokens
- $7.50
- Cache read, $ per 1M
- —
- Batch (input / output)
- $0.750 / $3.75
- Tool calling
- Yes
- Released
- ▲05/01/2026
- Knowledge cutoff
- —
- API id
- mistralai/mistral-medium-3-5
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 Medium 3.5 vs Qwen Plus 0728?
- Qwen Plus 0728: cheapest input (83% less than Mistral Medium 3.5)
- Qwen Plus 0728: cheapest output
- Qwen Plus 0728: largest context (1 M)
- Mistral Medium 3.5: the newest (05/01/2026)
Qwen Plus 0728 costs 83% less on input and 90% less on output than Mistral Medium 3.5 ($0.260 / $0.780 versus $1.50 / $7.50 per million tokens). Qwen Plus 0728 accepts more context (1 M). On capabilities, Mistral Medium 3.5 accepts images. Mistral Medium 3.5 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 Qwen Plus 0728 you save $45.48 a month versus Mistral Medium 3.5 (87% 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 Flash 0731 DeepSeek$1.55
- 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)
- 1Qwen Plus 0728 Qwen$0.020
- 2Mistral Medium 3.5 Mistral$0.114
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Mistral Medium 3.5 vs Qwen Plus 0728?
Qwen Plus 0728 costs 83% less on input and 90% less on output than Mistral Medium 3.5 ($0.260 / $0.780 versus $1.50 / $7.50 per million tokens). Qwen Plus 0728 accepts more context (1 M). On capabilities, Mistral Medium 3.5 accepts images. Mistral Medium 3.5 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Mistral Medium 3.5 and Qwen Plus 0728?
Qwen Plus 0728 is cheaper: $0.260 per million input tokens and $0.780 per million output tokens, versus $1.50 / $7.50 for Mistral Medium 3.5.
Which has more context: Mistral Medium 3.5 and Qwen Plus 0728?
Qwen Plus 0728 accepts 1 M tokens of context; Mistral Medium 3.5 accepts 262 K.
Which is newer: Mistral Medium 3.5 and Qwen Plus 0728?
Mistral Medium 3.5 was released on 05/01/2026; Qwen Plus 0728 on 09/08/2025.
What would 10,000 requests a month cost with Mistral Medium 3.5 and Qwen Plus 0728?
With 1,500 input and 400 output tokens per request: Mistral Medium 3.5: $52.50; 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.