Mistral Large 4 vs Qwen3.6 27B
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
Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 262 K tokens
- Max output
- 82 K
- Input, $ per 1M tokens
- ▲$0.320
- Output, $ per 1M tokens
- $3.20
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/22/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.6-27b
Which is the better API choice: Mistral Large 4 vs Qwen3.6 27B?
- Qwen3.6 27B: cheapest input (54% less than Mistral Large 4)
- Mistral Large 4: cheapest output
- Mistral Large 4: largest context (1 M)
- Mistral Large 4: the newest (10/06/2026)
- Mistral Large 4: most reasoning (estimated)
- Qwen3.6 27B: the fastest (estimated)
Pricing is split: Qwen3.6 27B wins on input and Mistral Large 4 wins on output. Mistral Large 4 accepts more context (1 M).
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.6 27B you save $1.30 a month versus Mistral Large 4 (7% 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
- 2Qwen3.6 27B Qwen$0.024
- 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
Popular comparisons
- Claude Fable 5.2 vs GPT-6.1 Terra
- Claude Fable 5.2 vs Gemini 4 Hydrogen
- Claude Fable 5.2 vs DeepSeek V4.1 Flash 1017
- Claude Fable 5.2 vs Grok 4.7
- GPT-6.1 Terra vs Gemini 4 Hydrogen
- GPT-6.1 Terra vs DeepSeek V4.1 Flash 1017
- GPT-6.1 Terra vs Grok 4.7
- Gemini 4 Hydrogen vs DeepSeek V4.1 Flash 1017
- Gemini 4 Hydrogen vs Grok 4.7
- DeepSeek V4.1 Flash 1017 vs Grok 4.7
More free tools
See allFrequently asked questions
Which is the better API choice: Mistral Large 4 vs Qwen3.6 27B?
Pricing is split: Qwen3.6 27B wins on input and Mistral Large 4 wins on output. Mistral Large 4 accepts more context (1 M).
Which is cheaper: Mistral Large 4 and Qwen3.6 27B?
Qwen3.6 27B is cheaper: $0.320 per million input tokens and $3.20 per million output tokens, versus $0.700 / $2.10 for Mistral Large 4.
Which has more context: Mistral Large 4 and Qwen3.6 27B?
Mistral Large 4 accepts 1 M tokens of context; Qwen3.6 27B accepts 262 K.
Which is newer: Mistral Large 4 and Qwen3.6 27B?
Mistral Large 4 was released on 10/06/2026; Qwen3.6 27B on 04/22/2026.
What would 10,000 requests a month cost with Mistral Large 4 and Qwen3.6 27B?
With 1,500 input and 400 output tokens per request: Mistral Large 4: $18.90; Qwen3.6 27B: $17.60 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.