GPT-3.5 Turbo vs Mistral Large 4
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
GPT-3.5 Turbo is OpenAI's fastest model.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 16 K tokens
- Max output
- 4 K
- Input, $ per 1M tokens
- ▲$0.500
- Output, $ per 1M tokens
- ▲$1.50
- Cache read, $ per 1M
- —
- Batch (input / output)
- $0.250 / $0.750
- Tool calling
- No
- Released
- 03/01/2023
- Knowledge cutoff
- 2021-09-01
- API id
- openai/gpt-3.5-turbo
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
Which is the better API choice: GPT-3.5 Turbo vs Mistral Large 4?
- GPT-3.5 Turbo: cheapest input (29% less than Mistral Large 4)
- GPT-3.5 Turbo: cheapest output
- Mistral Large 4: largest context (1 M)
- Mistral Large 4: the newest (10/06/2026)
- Mistral Large 4: most reasoning (estimated)
- GPT-3.5 Turbo: the fastest (estimated)
GPT-3.5 Turbo costs 29% less on input and 29% less on output than Mistral Large 4 ($0.500 / $1.50 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. GPT-3.5 Turbo 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 GPT-3.5 Turbo you save $5.40 a month versus Mistral Large 4 (29% less).
The 6 cheapest for this scenario (chat, last 12 months)
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- 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
- 2GPT-3.5 Turbo OpenAI$0.038
- 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: GPT-3.5 Turbo vs Mistral Large 4?
GPT-3.5 Turbo costs 29% less on input and 29% less on output than Mistral Large 4 ($0.500 / $1.50 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. GPT-3.5 Turbo offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-3.5 Turbo and Mistral Large 4?
GPT-3.5 Turbo is cheaper: $0.500 per million input tokens and $1.50 per million output tokens, versus $0.700 / $2.10 for Mistral Large 4.
Which has more context: GPT-3.5 Turbo and Mistral Large 4?
Mistral Large 4 accepts 1 M tokens of context; GPT-3.5 Turbo accepts 16 K.
Which is newer: GPT-3.5 Turbo and Mistral Large 4?
Mistral Large 4 was released on 10/06/2026; GPT-3.5 Turbo on 03/01/2023.
What would 10,000 requests a month cost with GPT-3.5 Turbo and Mistral Large 4?
With 1,500 input and 400 output tokens per request: GPT-3.5 Turbo: $13.50; Mistral Large 4: $18.90 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.