Mistral Large 4 vs Qwen3 8B
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on November 14, 2026· 230 models
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
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 131 K tokens
- Max output
- 8 K
- Input, $ per 1M tokens
- ▲$0.117
- Output, $ per 1M tokens
- ▲$0.455
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/01/2025
- Knowledge cutoff
- 2025-04
- API id
- qwen/qwen3-8b
Which is the better API choice: Mistral Large 4 vs Qwen3 8B?
- Qwen3 8B: cheapest input (83% less than Mistral Large 4)
- Qwen3 8B: cheapest output
- Mistral Large 4: largest context (1 M)
- Mistral Large 4: the newest (10/06/2026)
- Mistral Large 4: most reasoning (estimated)
- Qwen3 8B: the fastest (estimated)
Qwen3 8B costs 83% less on input and 78% less on output than Mistral Large 4 ($0.117 / $0.455 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 accepts images.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3 8B you save $15.33 a month versus Mistral Large 4 (81% 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 V4.1 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
- 2Qwen3 8B Qwen$0.009
- 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: Mistral Large 4 vs Qwen3 8B?
Qwen3 8B costs 83% less on input and 78% less on output than Mistral Large 4 ($0.117 / $0.455 versus $0.700 / $2.10 per million tokens). Mistral Large 4 accepts more context (1 M). On capabilities, Mistral Large 4 accepts images.
Which is cheaper: Mistral Large 4 and Qwen3 8B?
Qwen3 8B is cheaper: $0.117 per million input tokens and $0.455 per million output tokens, versus $0.700 / $2.10 for Mistral Large 4.
Which has more context: Mistral Large 4 and Qwen3 8B?
Mistral Large 4 accepts 1 M tokens of context; Qwen3 8B accepts 131 K.
Which is newer: Mistral Large 4 and Qwen3 8B?
Mistral Large 4 was released on 10/06/2026; Qwen3 8B on 04/01/2025.
What would 10,000 requests a month cost with Mistral Large 4 and Qwen3 8B?
With 1,500 input and 400 output tokens per request: Mistral Large 4: $18.90; Qwen3 8B: $3.58 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.