Llama 3.1 8B Instruct 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
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.
- Reasoning estimated
- ▲
- Speed estimated
- ▲
- Input
- Output
- Context
- 131 K tokens
- Max output
- 118 K
- Input, $ per 1M tokens
- ▲$0.050
- Output, $ per 1M tokens
- ▲$0.080
- Cache read, $ per 1M
- $0.025
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 07/23/2024
- Knowledge cutoff
- 2023-12
- API id
- meta-llama/llama-3.1-8b-instruct
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: Llama 3.1 8B Instruct vs Mistral Medium 3.5?
- Llama 3.1 8B Instruct: cheapest input (97% less than Mistral Medium 3.5)
- Llama 3.1 8B Instruct: cheapest output
- Mistral Medium 3.5: largest context (262 K)
- Mistral Medium 3.5: the newest (05/01/2026)
- Llama 3.1 8B Instruct: most reasoning (estimated)
- Llama 3.1 8B Instruct: the fastest (estimated)
Llama 3.1 8B Instruct costs 97% less on input and 99% less on output than Mistral Medium 3.5 ($0.050 / $0.080 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; Llama 3.1 8B Instruct 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 Llama 3.1 8B Instruct you save $51.43 a month versus Mistral Medium 3.5 (98% 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)
- 1Llama 3.1 8B Instruct Meta$0.004
- 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: Llama 3.1 8B Instruct vs Mistral Medium 3.5?
Llama 3.1 8B Instruct costs 97% less on input and 99% less on output than Mistral Medium 3.5 ($0.050 / $0.080 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; Llama 3.1 8B Instruct 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: Llama 3.1 8B Instruct and Mistral Medium 3.5?
Llama 3.1 8B Instruct is cheaper: $0.050 per million input tokens and $0.080 per million output tokens, versus $1.50 / $7.50 for Mistral Medium 3.5.
Which has more context: Llama 3.1 8B Instruct and Mistral Medium 3.5?
Mistral Medium 3.5 accepts 262 K tokens of context; Llama 3.1 8B Instruct accepts 131 K.
Which is newer: Llama 3.1 8B Instruct and Mistral Medium 3.5?
Mistral Medium 3.5 was released on 05/01/2026; Llama 3.1 8B Instruct on 07/23/2024.
What would 10,000 requests a month cost with Llama 3.1 8B Instruct and Mistral Medium 3.5?
With 1,500 input and 400 output tokens per request: Llama 3.1 8B Instruct: $1.07; 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.