Mistral Large 4 vs Qwen3.5-Flash

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on November 14, 2026· 230 models

MistralLarge 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.

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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
QwenQwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
1 M tokens
Max output
66 K
Input, $ per 1M tokens
▲$0.065
Output, $ per 1M tokens
▲$0.260
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
02/25/2026
Knowledge cutoff
—
API id
qwen/qwen3.5-flash-02-23
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Mistral Large 4 vs Qwen3.5-Flash?

  • Qwen3.5-Flash: cheapest input (91% less than Mistral Large 4)
  • Qwen3.5-Flash: cheapest output
  • Mistral Large 4: largest context (1 M)
  • Mistral Large 4: the newest (10/06/2026)
  • Mistral Large 4: most reasoning (estimated)
  • Qwen3.5-Flash: the fastest (estimated)

Qwen3.5-Flash costs 91% less on input and 88% less on output than Mistral Large 4 ($0.065 / $0.260 versus $0.700 / $2.10 per million tokens). 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.

Mistral Large 4
$18.90/mo
Qwen3.5-Flash
$2.02/mo

With Qwen3.5-Flash you save $16.88 a month versus Mistral Large 4 (89% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4.1 Flash DeepSeek$1.57
  5. 5DeepSeek V4 Flash 0731 DeepSeek$1.85
  6. 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.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Qwen3.5-Flash Qwen$0.005
  2. 2Claude Haiku 5.5 Anthropic$0.008
  3. 3Mistral Large 4 Mistral$0.053
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.2 Anthropic$0.608
  8. 8Claude Fable 5.1 Anthropic$0.760

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Frequently asked questions

Which is the better API choice: Mistral Large 4 vs Qwen3.5-Flash?

Qwen3.5-Flash costs 91% less on input and 88% less on output than Mistral Large 4 ($0.065 / $0.260 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M).

Which is cheaper: Mistral Large 4 and Qwen3.5-Flash?

Qwen3.5-Flash is cheaper: $0.065 per million input tokens and $0.260 per million output tokens, versus $0.700 / $2.10 for Mistral Large 4.

Which has more context: Mistral Large 4 and Qwen3.5-Flash?

Mistral Large 4 accepts 1 M tokens of context; Qwen3.5-Flash accepts 1 M.

Which is newer: Mistral Large 4 and Qwen3.5-Flash?

Mistral Large 4 was released on 10/06/2026; Qwen3.5-Flash on 02/25/2026.

What would 10,000 requests a month cost with Mistral Large 4 and Qwen3.5-Flash?

With 1,500 input and 400 output tokens per request: Mistral Large 4: $18.90; Qwen3.5-Flash: $2.02 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.