Mistral Large 3 Mistral AI
💰 Total Cost Calculation (from Plugin)
Output: $0.000038
Output: $0.000038
Unit: $0.000250
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 258,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 250,000 input tokens and 100 output tokens:
- Input Cost: $0.063500 (rounded ~ $0.06)
- Output Cost: $0.000038
- Unit Cost: $0.000250
- Total Cost: $0.063788 (rounded ~ $0.06)
- Cost per 1K tokens: $0.000126
- Tokens per dollar: 7,965,510 tokens
- Context Window: 256000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 160ms time to first token:
- Processing Time: 18 minutes, 7.51 seconds
- Latency: 160 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Mistral Large 3| Rank | AI Model & Provider | Total Cost | vs Mistral Large 3 |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.031788 (rounded ~ $0.03) Best Value | ↓ 50.2% cheaper |
| 🥈 |
Gemini 2.5 Flash
Google
|
$0.038163 (rounded ~ $0.04) | ↓ 40.2% cheaper |
| 🥉 |
GPT-5.4 mini
OpenAI
|
$0.095363 (rounded ~ $0.10) | ↑ 49.5% more |
| #4 |
Claude Haiku 4.5
Anthropic
|
$0.127125 (rounded ~ $0.13) | ↑ 99.3% more |
| #5 |
Llama 4 Maverick (400B)
Meta AI
|
$0.158310 (rounded ~ $0.16) | ↑ 148.2% more |
| #6 |
Grok 4.3
xAI
|
$0.158813 (rounded ~ $0.16) | ↑ 149% more |
| #7 |
Gemini 3.5 Flash
Google
|
$0.190725 | ↑ 199% more |
| #8 |
Gemini 3.1 Flash
Google
|
$0.254300 (rounded ~ $0.25) | ↑ 298.7% more |
| #9 |
Claude Sonnet 4.6
Anthropic
|
$0.381375 (rounded ~ $0.38) | ↑ 497.9% more |
| #10 |
Claude Opus 4.7
Anthropic
|
$0.635625 (rounded ~ $0.64) | ↑ 896.5% more |
| #11 |
Claude Opus 4.8
Anthropic
|
$0.635625 (rounded ~ $0.64) | ↑ 896.5% more |
| #12 |
Claude Opus 4.6
Anthropic
|
$0.635625 (rounded ~ $0.64) | ↑ 896.5% more |
| #13 |
Gemini 2.5 Pro
Google
|
$0.635750 (rounded ~ $0.64) | ↑ 896.7% more |
| #14 |
GPT-5.5 Instant
OpenAI
|
$0.635750 (rounded ~ $0.64) | ↑ 896.7% more |
| #15 |
Gemini 3.1 Pro
Google
|
$1.016900 (rounded ~ $1.02) | ↑ 1494.2% more |
| #16 |
GPT-5.4
OpenAI
|
$1.271125 (rounded ~ $1.27) | ↑ 1892.7% more |
| #17 |
GPT-5.4 Thinking
OpenAI
|
$1.271125 (rounded ~ $1.27) | ↑ 1892.7% more |
| #18 |
GPT-5.5
OpenAI
|
$2.542250 (rounded ~ $2.54) | ↑ 3885.5% more |
| #19 |
GPT-5.5 Pro
OpenAI
|
$3.814500 (rounded ~ $3.81) | ↑ 5880% more |
| #20 |
GPT-5.5 Pro
OpenAI
|
$3.814500 (rounded ~ $3.81) | ↑ 5880% more |
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
GPT-5.4 mini OpenAI
Claude Haiku 4.5 Anthropic
Llama 4 Maverick (400B) Meta AI
Grok 4.3 xAI
Gemini 3.5 Flash Google
Gemini 3.1 Flash Google
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
GPT-5.5 Instant OpenAI
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.5 OpenAI
GPT-5.5 Pro OpenAI
GPT-5.5 Pro OpenAI
Efficient Prompt Generation for AI Image Variation with Mistral Large 3
For indie game developers looking to scale their asset creation pipeline, generating consistent and creative variations of product photos is key. This post analyzes the cost of using Mistral Large 3 to generate image variation prompts, focusing on a batch size that fits within its context window. The calculator below uses an input of 250,000 tokens, sufficient for generating approximately 500 detailed prompts (assuming 500 input tokens per prompt), providing a clear per-batch cost estimate.
Mistral Large 3: A Capable and Cost-Effective Option
Mistral Large 3, from Mistral AI, is a powerful language model with strong multimodal capabilities, including vision. This allows it to process product images or their descriptions to craft effective prompts for AI image generators. Its pricing makes it an attractive option for developers seeking a balance between performance and cost.
Verified Pricing and Batch Cost Calculation
Mistral Large 3 is priced at $0.50 per 1 million input tokens and $1.50 per 1 million output tokens. To generate 500 image variation prompts, each requiring around 500 input tokens for context and analysis, and producing a 100-token output prompt, the calculation is as follows:
- Total Input Tokens: 500 prompts * 500 tokens/prompt = 250,000 tokens
- Input Cost: 250,000 tokens * $0.50/1M tokens = $0.125
- Total Output Tokens: 500 prompts * 100 tokens/prompt = 50,000 tokens
- Output Cost: 50,000 tokens * $1.50/1M tokens = $0.075
- Total Estimated Cost for 500 Prompts: $0.20
This translates to an exceptionally low cost of approximately $0.0004 per prompt, making it highly feasible for extensive use in game development asset pipelines.
Strengths and Weaknesses
- Strengths: Strong reasoning and multimodal understanding, competitive pricing, good performance for complex instructions, and a context window (256,000 tokens) suitable for substantial prompt generation batches.
- Weaknesses: While capable, it might require more iterative prompt refinement for highly specific artistic styles compared to premium models.
Use Case: AI Image Variation
Mistral Large 3 can analyze your product photos and generate varied prompts, such as “Generate a photorealistic variation of this [product description] with a [different material] in a [new setting]” or “Create a stylized, [artistic style] version of this product, emphasizing [key feature].” This batch-processed approach allows for efficient creation of many prompt ideas, which are then sent to an image generation API to produce the desired visual variations, significantly speeding up content creation for game assets.