Mistral Medium 3.5 vs Qwen3 30B A3B Thinking 2507
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
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 82 K tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- ▲$0.200
- Output, $ per 1M tokens
- ▲$2.40
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 02/04/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3-30b-a3b-thinking-2507
Which is the better API choice: Mistral Medium 3.5 vs Qwen3 30B A3B Thinking 2507?
- Qwen3 30B A3B Thinking 2507: cheapest input (87% less than Mistral Medium 3.5)
- Qwen3 30B A3B Thinking 2507: cheapest output
- Mistral Medium 3.5: largest context (262 K)
- Mistral Medium 3.5: the newest (05/01/2026)
- Qwen3 30B A3B Thinking 2507: most reasoning (estimated)
- Mistral Medium 3.5: the fastest (estimated)
Qwen3 30B A3B Thinking 2507 costs 87% less on input and 68% less on output than Mistral Medium 3.5 ($0.200 / $2.40 versus $1.50 / $7.50 per million tokens). Mistral Medium 3.5 accepts more context (262 K). On capabilities, Mistral Medium 3.5 accepts images; Qwen3 30B A3B Thinking 2507 has a reasoning mode. 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 Qwen3 30B A3B Thinking 2507 you save $39.90 a month versus Mistral Medium 3.5 (76% 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)
- 1Qwen3 30B A3B Thinking 2507 Qwen$0.015
- 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
Popular comparisons
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- Claude Sonnet 5.5 vs DeepSeek V4.1 Flash
- Claude Sonnet 5.5 vs Grok 4.7
- GPT-6.1 Sol vs Gemini 3.8 Flash
- GPT-6.1 Sol vs DeepSeek V4.1 Flash
- GPT-6.1 Sol vs Grok 4.7
- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs Grok 4.7
- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: Mistral Medium 3.5 vs Qwen3 30B A3B Thinking 2507?
Qwen3 30B A3B Thinking 2507 costs 87% less on input and 68% less on output than Mistral Medium 3.5 ($0.200 / $2.40 versus $1.50 / $7.50 per million tokens). Mistral Medium 3.5 accepts more context (262 K). On capabilities, Mistral Medium 3.5 accepts images; Qwen3 30B A3B Thinking 2507 has a reasoning mode. 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 Qwen3 30B A3B Thinking 2507?
Qwen3 30B A3B Thinking 2507 is cheaper: $0.200 per million input tokens and $2.40 per million output tokens, versus $1.50 / $7.50 for Mistral Medium 3.5.
Which has more context: Mistral Medium 3.5 and Qwen3 30B A3B Thinking 2507?
Mistral Medium 3.5 accepts 262 K tokens of context; Qwen3 30B A3B Thinking 2507 accepts 82 K.
Which is newer: Mistral Medium 3.5 and Qwen3 30B A3B Thinking 2507?
Mistral Medium 3.5 was released on 05/01/2026; Qwen3 30B A3B Thinking 2507 on 02/04/2026.
What would 10,000 requests a month cost with Mistral Medium 3.5 and Qwen3 30B A3B Thinking 2507?
With 1,500 input and 400 output tokens per request: Mistral Medium 3.5: $52.50; Qwen3 30B A3B Thinking 2507: $12.60 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.