Mistral Large 2407 vs Qwen3.8 Max Prime
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407).
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 105 K
- Input, $ per 1M tokens
- ▲$2.00
- Output, $ per 1M tokens
- ▲$6.00
- Cache read, $ per 1M
- $0.200
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 11/19/2024
- Knowledge cutoff
- —
- API id
- mistralai/mistral-large-2407
Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point.
- Reasoning estimated
- ▲
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- $4.00
- Output, $ per 1M tokens
- $12.00
- Cache read, $ per 1M
- $0.500
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲09/23/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-max-prime
Which is the better API choice: Mistral Large 2407 vs Qwen3.8 Max Prime?
- Mistral Large 2407: cheapest input (50% less than Qwen3.8 Max Prime)
- Mistral Large 2407: cheapest output
- Qwen3.8 Max Prime: largest context (1 M)
- Qwen3.8 Max Prime: the newest (09/23/2026)
- Qwen3.8 Max Prime: most reasoning (estimated)
- Qwen3.8 Max Prime: the fastest (estimated)
Mistral Large 2407 costs 50% less on input and 50% less on output than Qwen3.8 Max Prime ($2.00 / $6.00 versus $4.00 / $12.00 per million tokens). Qwen3.8 Max Prime accepts more context (1 M). On capabilities, Qwen3.8 Max Prime accepts images; Qwen3.8 Max Prime has a reasoning mode.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Mistral Large 2407 you save $54.00 a month versus Qwen3.8 Max Prime (50% 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 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)
- 1Mistral Large 2407 Mistral$0.152
- 2Claude Sonnet 5.5 Anthropic$0.152
- 3Claude Sonnet 5 Anthropic$0.152
- 4Qwen3.8 Max Prime Qwen$0.304
- 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: Mistral Large 2407 vs Qwen3.8 Max Prime?
Mistral Large 2407 costs 50% less on input and 50% less on output than Qwen3.8 Max Prime ($2.00 / $6.00 versus $4.00 / $12.00 per million tokens). Qwen3.8 Max Prime accepts more context (1 M). On capabilities, Qwen3.8 Max Prime accepts images; Qwen3.8 Max Prime has a reasoning mode.
Which is cheaper: Mistral Large 2407 and Qwen3.8 Max Prime?
Mistral Large 2407 is cheaper: $2.00 per million input tokens and $6.00 per million output tokens, versus $4.00 / $12.00 for Qwen3.8 Max Prime.
Which has more context: Mistral Large 2407 and Qwen3.8 Max Prime?
Qwen3.8 Max Prime accepts 1 M tokens of context; Mistral Large 2407 accepts 131 K.
Which is newer: Mistral Large 2407 and Qwen3.8 Max Prime?
Qwen3.8 Max Prime was released on 09/23/2026; Mistral Large 2407 on 11/19/2024.
What would 10,000 requests a month cost with Mistral Large 2407 and Qwen3.8 Max Prime?
With 1,500 input and 400 output tokens per request: Mistral Large 2407: $54.00; Qwen3.8 Max Prime: $108.00 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.