AI model comparison
Mistral Large 3 2512 vs Qwen3 VL 30B A3B Thinking
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Mistral
Mistral Large 3 2512
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
- Input / 1M
- $0.50
- Output / 1M
- $1.50
- Context
- 262K
Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks.
- Input / 1M
- $0.29
- Output / 1M
- $1
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3 VL 30B A3B Thinking
1.6x cheaper for a typical chat
Higher intelligence score
Qwen3 VL 30B A3B Thinking
9.5 vs 9.3 on Artificial Analysis
Larger context window
Tie
262K vs 262K tokens
Newer release
Mistral Large 3 2512
Released December 1, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Large 3 25129.3Qwen3 VL 30B A3B Thinking9.5Coding index
Mistral Large 3 251220.1Qwen3 VL 30B A3B ThinkingNot availableAgentic index
Mistral Large 3 25121Qwen3 VL 30B A3B ThinkingNot availablePricing
Mistral Large 3 2512 vs Qwen3 VL 30B A3B Thinking API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Large 3 2512 | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Input tokensPer 1M tokens | $0.50 | $0.29 |
| Output tokensPer 1M tokens | $1.50 | $1 |
| Cached input (read)Per 1M tokens | $0.05 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Mistral Large 3 2512$1.75Qwen3 VL 30B A3B Thinking$1.08Coding task
30K in, 4K out
Mistral Large 3 2512$21$7.50 cachedQwen3 VL 30B A3B Thinking$12.70Long document summary
150K in, 2K out
Mistral Large 3 2512$78$10.50 cachedQwen3 VL 30B A3B Thinking$45.50Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Large 3 2512 | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 210K tokens | 236K tokens |
| Input types | File, Image, Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | December 1, 2025 | October 6, 2025 |
Features
Supported features
API features available for each model.
| Metric | Mistral Large 3 2512 | Qwen3 VL 30B A3B Thinking |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Mistral Large 3 2512View full model details- Mistral Large 3 2512 vs Mistral Small 4
- Mistral Large 3 2512 vs GPT-4.1 Mini
- Mistral Large 3 2512 vs Qwen3 VL 235B A22B Instruct
- Mistral Large 3 2512 vs DeepSeek V3 0324
- Mistral Large 3 2512 vs Qwen3 Next 80B A3B Instruct
- Mistral Large 3 2512 vs Qwen3 Coder Next
- Mistral Large 3 2512 vs Mistral Medium 3.1
- Mistral Large 3 2512 vs Mistral Medium 3
- Mistral Large 3 2512 vs Devstral 2 2512
- Mistral Large 3 2512 vs GLM 4.5V
Qwen3 VL 30B A3B ThinkingView full model details- Qwen3 VL 30B A3B Thinking vs Qwen3 235B A22B Instruct 2507
- Qwen3 VL 30B A3B Thinking vs Qwen3 Coder 480B A35B
- Qwen3 VL 30B A3B Thinking vs Qwen3 Next 80B A3B Thinking
- Qwen3 VL 30B A3B Thinking vs Qwen3 VL 235B A22B Instruct
- Qwen3 VL 30B A3B Thinking vs DeepSeek V3 0324
- Qwen3 VL 30B A3B Thinking vs Qwen3 Next 80B A3B Instruct
- Qwen3 VL 30B A3B Thinking vs Qwen3 Coder Next
- Qwen3 VL 30B A3B Thinking vs Qwen3 VL 30B A3B Instruct
- Qwen3 VL 30B A3B Thinking vs Qwen3 VL 8B Instruct
- Qwen3 VL 30B A3B Thinking vs Qwen2.5 Coder 32B Instruct
Our take
Qwen3 VL 30B A3B Thinking is 1.6x cheaper for a typical chat. Qwen3 VL 30B A3B Thinking scores higher on the Artificial Analysis Intelligence Index (9.5 vs 9.3). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Mistral Large 3 2512 or Qwen3 VL 30B A3B Thinking cheaper?
Qwen3 VL 30B A3B Thinking is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 VL 30B A3B Thinking costs $0.29 per 1M input tokens and $1 per 1M output tokens, while Mistral Large 3 2512 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens.
Which has a bigger context window, Mistral Large 3 2512 or Qwen3 VL 30B A3B Thinking?
Mistral Large 3 2512 supports up to 262K tokens of context, compared with 262K for Qwen3 VL 30B A3B Thinking.
Is Mistral Large 3 2512 smarter than Qwen3 VL 30B A3B Thinking?
On the Artificial Analysis Intelligence Index, Mistral Large 3 2512 scores 9.3 and Qwen3 VL 30B A3B Thinking scores 9.5, putting Qwen3 VL 30B A3B Thinking ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mistral Large 3 2512 and Qwen3 VL 30B A3B Thinking at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mistral Large 3 2512 and Qwen3 VL 30B A3B Thinking answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mistral Large 3 2512 and Qwen3 VL 30B A3B Thinking at the same time. Compare the answers side by side and keep the best one.