GPT-3.5 Turbo (older v0613) vs Mistral Medium 3.5
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
GPT-3.5 Turbo is OpenAI's fastest model.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 4 K tokens
- Max output
- 4 K
- Input, $ per 1M tokens
- ▲$1.00
- Output, $ per 1M tokens
- ▲$2.00
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 01/25/2024
- Knowledge cutoff
- —
- API id
- openai/gpt-3.5-turbo-0613
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
Which is the better API choice: GPT-3.5 Turbo (older v0613) vs Mistral Medium 3.5?
- GPT-3.5 Turbo (older v0613): cheapest input (33% less than Mistral Medium 3.5)
- GPT-3.5 Turbo (older v0613): cheapest output
- Mistral Medium 3.5: largest context (262 K)
- Mistral Medium 3.5: the newest (05/01/2026)
- GPT-3.5 Turbo (older v0613): the fastest (estimated)
GPT-3.5 Turbo (older v0613) costs 33% less on input and 73% less on output than Mistral Medium 3.5 ($1.00 / $2.00 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. 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 GPT-3.5 Turbo (older v0613) you save $29.50 a month versus Mistral Medium 3.5 (56% less).
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- 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)
- 1GPT-3.5 Turbo (older v0613) OpenAI$0.076
- 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: GPT-3.5 Turbo (older v0613) vs Mistral Medium 3.5?
GPT-3.5 Turbo (older v0613) costs 33% less on input and 73% less on output than Mistral Medium 3.5 ($1.00 / $2.00 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. Mistral Medium 3.5 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: GPT-3.5 Turbo (older v0613) and Mistral Medium 3.5?
GPT-3.5 Turbo (older v0613) is cheaper: $1.00 per million input tokens and $2.00 per million output tokens, versus $1.50 / $7.50 for Mistral Medium 3.5.
Which has more context: GPT-3.5 Turbo (older v0613) and Mistral Medium 3.5?
Mistral Medium 3.5 accepts 262 K tokens of context; GPT-3.5 Turbo (older v0613) accepts 4 K.
Which is newer: GPT-3.5 Turbo (older v0613) and Mistral Medium 3.5?
Mistral Medium 3.5 was released on 05/01/2026; GPT-3.5 Turbo (older v0613) on 01/25/2024.
What would 10,000 requests a month cost with GPT-3.5 Turbo (older v0613) and Mistral Medium 3.5?
With 1,500 input and 400 output tokens per request: GPT-3.5 Turbo (older v0613): $23.00; Mistral Medium 3.5: $52.50 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.