AI model comparison
Ling 3.0 Flash 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
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*.
- 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
Mistral Nemo
1.0x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
Ling 3.0 Flash
262K vs 131K tokens
Newer release
Ling 3.0 Flash
Released July 23, 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 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 | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 23, 2026 | July 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | Mistral Nemo | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not 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 vs Hy3
- Ling 3.0 Flash vs Solar Mini 4
- Ling 3.0 Flash vs MiMo-V2.5
- Ling 3.0 Flash vs Gemma 4 31B
- Ling 3.0 Flash vs Gemma 4 26B A4B
- Ling 3.0 Flash vs DeepSeek V3.2
- Ling 3.0 Flash vs Step 3.7 Flash
- Ling 3.0 Flash vs Ling 3.0 Flash VL
- Ling 3.0 Flash vs Ling 3.0 Flash Fin
- Ling 3.0 Flash vs Step 3.5 Flash
Mistral NemoView full model details- Mistral Nemo vs GLM 5.3 Flash
- Mistral Nemo vs MiMo-V2.6-Flash
- Mistral Nemo vs Muse Spark 1.3 Contributor
- Mistral Nemo vs gpt-oss-20b
- Mistral Nemo vs Ling 3.0 Flash VL
- Mistral Nemo vs Llama 3.1 8B Instruct
- Mistral Nemo vs Mistral Small 3
- Mistral Nemo vs Ministral 3 8B 2512
- Mistral Nemo vs Ministral 3 3B 2512
Our take
Mistral Nemo is 1.0x cheaper for a typical chat. Ling 3.0 Flash 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 or Mistral Nemo cheaper?
Mistral Nemo is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens, while Ling 3.0 Flash costs $0.02 per 1M input tokens and $0.06 per 1M output tokens.
Which has a bigger context window, Ling 3.0 Flash or Mistral Nemo?
Ling 3.0 Flash supports up to 262K tokens of context, compared with 131K for Mistral Nemo.
Can I use Ling 3.0 Flash 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 and Mistral Nemo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Ling 3.0 Flash and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.