AI model comparison
Ling 3.0 Flash Fin vs MiniMax M2.7
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
inclusionAI
Ling 3.0 Flash Fin
Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total.
- Input / 1M
- $0.04
- Output / 1M
- $0.12
- Context
- 262K
MiniMax
MiniMax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement.
- Input / 1M
- $0.21
- Output / 1M
- $0.84
- Context
- 205K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Ling 3.0 Flash Fin
5.8x cheaper for a typical chat
Higher intelligence score
MiniMax M2.7
22.8 vs 22.6 on Artificial Analysis
Larger context window
Ling 3.0 Flash Fin
262K vs 205K tokens
Newer release
Ling 3.0 Flash Fin
Released August 27, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Ling 3.0 Flash Fin vs MiniMax M2.7 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.04 | $0.21 |
| Output tokensPer 1M tokens | $0.12 | $0.84 |
| Cached input (read)Per 1M tokens | $0.01 | $0.04 |
| 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 | 205K tokens |
| Max output | 33K tokens | 177K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | August 27, 2026 | March 18, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Not supported |
| JSON mode | Not supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | 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.
- Ling 3.0 Flash Fin vs Solar Pro 4
- Ling 3.0 Flash Fin vs Hy3
- Ling 3.0 Flash Fin vs MiMo-V2.5
- Ling 3.0 Flash Fin vs Ling 3.0 Flash VL
- Ling 3.0 Flash Fin vs DeepSeek V4 Flash 0423
- Ling 3.0 Flash Fin vs Solar Mini 4
- Ling 3.0 Flash Fin vs DeepSeek V3.2
- Ling 3.0 Flash Fin vs Ling 3.0 Flash
- Ling 3.0 Flash Fin vs Gemma 4 26B A4B
- MiniMax M2.7 vs DeepSeek V4 Flash 0423
- MiniMax M2.7 vs Hy3
- MiniMax M2.7 vs MiniMax M3
- MiniMax M2.7 vs Solar Mini 4
- MiniMax M2.7 vs MiMo-V2.5-Pro
- MiniMax M2.7 vs DeepSeek V3.2
- MiniMax M2.7 vs Qwen3.7 Plus
- MiniMax M2.7 vs Gemini 3.5 Flash Lite
- MiniMax M2.7 vs MiniMax M2.5
- MiniMax M2.7 vs MiniMax M2.1
- MiniMax M2.7 vs GPT-5.4 Nano
- MiniMax M2.7 vs Qwen3.5-35B-A3B
- MiniMax M2.7 vs MiniMax M2
Our take
Ling 3.0 Flash Fin is 5.8x cheaper for a typical chat. MiniMax M2.7 scores higher on the Artificial Analysis Intelligence Index (22.8 vs 22.6). Ling 3.0 Flash Fin has the larger context window (262K vs 205K tokens). 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 Ling 3.0 Flash Fin or MiniMax M2.7 cheaper?
Ling 3.0 Flash Fin is cheaper for a typical chat (2K input tokens and 500 output tokens). Ling 3.0 Flash Fin costs $0.04 per 1M input tokens and $0.12 per 1M output tokens, while MiniMax M2.7 costs $0.21 per 1M input tokens and $0.84 per 1M output tokens.
Which has a bigger context window, Ling 3.0 Flash Fin or MiniMax M2.7?
Ling 3.0 Flash Fin supports up to 262K tokens of context, compared with 205K for MiniMax M2.7.
Is Ling 3.0 Flash Fin smarter than MiniMax M2.7?
On the Artificial Analysis Intelligence Index, Ling 3.0 Flash Fin scores 22.6 and MiniMax M2.7 scores 22.8, putting MiniMax M2.7 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Ling 3.0 Flash Fin and MiniMax M2.7 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Ling 3.0 Flash Fin and MiniMax M2.7 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Ling 3.0 Flash Fin and MiniMax M2.7 at the same time. Compare the answers side by side and keep the best one.