AI model comparison
Qwen3 Coder Next vs Mistral Large 3 2512
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen
Qwen3 Coder Next
Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.
- Input / 1M
- $0.12
- Output / 1M
- $0.80
- Context
- 262K
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
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3 Coder Next
2.7x cheaper for a typical chat
Higher intelligence score
Mistral Large 3 2512
9.3 vs 9.2 on Artificial Analysis
Larger context window
Tie
262K vs 262K tokens
Newer release
Qwen3 Coder Next
Released February 4, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Qwen3 Coder Next vs Mistral Large 3 2512 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.12 | $0.50 |
| Output tokensPer 1M tokens | $0.80 | $1.50 |
| Cached input (read)Per 1M tokens | $0.07 | $0.05 |
| 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
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 236K tokens | 210K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | February 4, 2026 | December 1, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
Qwen3 Coder Next is 2.7x cheaper for a typical chat. Mistral Large 3 2512 scores higher on the Artificial Analysis Intelligence Index (9.3 vs 9.2). 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 Qwen3 Coder Next or Mistral Large 3 2512 cheaper?
Qwen3 Coder Next is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 Coder Next costs $0.12 per 1M input tokens and $0.80 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, Qwen3 Coder Next or Mistral Large 3 2512?
Qwen3 Coder Next supports up to 262K tokens of context, compared with 262K for Mistral Large 3 2512.
Is Qwen3 Coder Next smarter than Mistral Large 3 2512?
On the Artificial Analysis Intelligence Index, Qwen3 Coder Next scores 9.2 and Mistral Large 3 2512 scores 9.3, putting Mistral Large 3 2512 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3 Coder Next and Mistral Large 3 2512 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3 Coder Next and Mistral Large 3 2512 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3 Coder Next and Mistral Large 3 2512 at the same time. Compare the answers side by side and keep the best one.