AI model comparison
Ling 3.0 Flash VL vs Mistral Nemo
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 VL
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual
- Input / 1M
- $0.02
- Output / 1M
- $0.06
- Context
- 262K
Mistral
Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.
- Input / 1M
- $0.03
- Output / 1M
- $0.03
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Ling 3.0 Flash VL
1.0x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
Ling 3.0 Flash VL
262K vs 131K tokens
Newer release
Ling 3.0 Flash VL
Released September 10, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral NemoNot availableCoding index
Mistral NemoNot availableAgentic index
Mistral NemoNot availablePricing
Ling 3.0 Flash VL vs Mistral Nemo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Nemo | |
|---|---|---|
| Input tokensPer 1M tokens | $0.02 | $0.03 |
| Output tokensPer 1M tokens | $0.06 | $0.03 |
| Cached input (read)Per 1M tokens | $0.00 | 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 Nemo$0.07Coding task
30K in, 4K out
Mistral Nemo$0.99Long document summary
150K in, 2K out
Mistral Nemo$4.41Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Nemo | |
|---|---|---|
| Context window | 262K tokens | 131K tokens |
| Max output | 33K tokens | 16K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | September 10, 2026 | July 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | Mistral Nemo | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not 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 VL vs DeepSeek V4 Flash 0423
- Ling 3.0 Flash VL vs Hy3
- Ling 3.0 Flash VL vs DeepSeek V4 Pro 0423
- Ling 3.0 Flash VL vs Solar Pro 4
- Ling 3.0 Flash VL vs Solar Mini 4
- Ling 3.0 Flash VL vs MiMo-V2.5-Pro
- Ling 3.0 Flash VL vs MiMo-V2.5
- Ling 3.0 Flash VL vs DeepSeek V3.2
- Ling 3.0 Flash VL vs Ling 3.0 Flash Fin
- Ling 3.0 Flash VL vs Ling 3.0 Flash
Our take
Ling 3.0 Flash VL is 1.0x cheaper for a typical chat. Ling 3.0 Flash VL has the larger context window (262K vs 131K 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 VL or Mistral Nemo cheaper?
Ling 3.0 Flash VL is cheaper for a typical chat (2K input tokens and 500 output tokens). Ling 3.0 Flash VL costs $0.02 per 1M input tokens and $0.06 per 1M output tokens, while Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens.
Which has a bigger context window, Ling 3.0 Flash VL or Mistral Nemo?
Ling 3.0 Flash VL supports up to 262K tokens of context, compared with 131K for Mistral Nemo.
Can I use Ling 3.0 Flash VL and Mistral Nemo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Ling 3.0 Flash VL and Mistral Nemo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Ling 3.0 Flash VL and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.