AI model comparison
DeepSeek V4 Flash 0423 vs Mistral Nemo
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V4 Flash 0423
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.
- Input / 1M
- $0.09
- Output / 1M
- $0.18
- Context
- 1.05M
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
3.7x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
DeepSeek V4 Flash 0423
1.05M vs 131K tokens
Newer release
DeepSeek V4 Flash 0423
Released April 24, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4 Flash 042324.4Mistral NemoNot availableCoding index
DeepSeek V4 Flash 042352Mistral NemoNot availableAgentic index
DeepSeek V4 Flash 042326.3Mistral NemoNot availablePricing
DeepSeek V4 Flash 0423 vs Mistral Nemo API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Flash 0423 | Mistral Nemo |
|---|---|---|
| Input tokensPer 1M tokens | $0.09 | $0.03 |
| Output tokensPer 1M tokens | $0.18 | $0.03 |
| Cached input (read)Per 1M tokens | $0.02 | 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
DeepSeek V4 Flash 0423$0.27Mistral Nemo$0.07Coding task
30K in, 4K out
DeepSeek V4 Flash 0423$3.46$1.27 cachedMistral Nemo$0.99Long document summary
150K in, 2K out
DeepSeek V4 Flash 0423$14.01$3.09 cachedMistral 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 | DeepSeek V4 Flash 0423 | Mistral Nemo |
|---|---|---|
| Context window | 1.05M tokens | 131K tokens |
| Max output | 944K tokens | 16K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High | Not available |
| Default reasoning effort | High | Not available |
| Release date | April 24, 2026 | July 19, 2024 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Flash 0423 | 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.
DeepSeek V4 Flash 0423View full model details- DeepSeek V4 Flash 0423 vs DeepSeek V4.1 Flash
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- DeepSeek V4 Flash 0423 vs Hy4 preview
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- DeepSeek V4 Flash 0423 vs DeepSeek V4 Flash 0731
- DeepSeek V4 Flash 0423 vs GLM 5.3
- DeepSeek V4 Flash 0423 vs Hy3
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- DeepSeek V4 Flash 0423 vs Solar Mini 4
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- DeepSeek V4 Flash 0423 vs DeepSeek V4 Pro 0423
- DeepSeek V4 Flash 0423 vs MiMo-V2.5
- DeepSeek V4 Flash 0423 vs Qwen3.7 Flash
- DeepSeek V4 Flash 0423 vs DeepSeek V3.2
- DeepSeek V4 Flash 0423 vs MiMo-V2.5-Pro
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash VL
- DeepSeek V4 Flash 0423 vs Ling 3.0 Flash Fin
- DeepSeek V4 Flash 0423 vs DeepSeek V3.2 Exp
- DeepSeek V4 Flash 0423 vs Step 3.5 Flash
Our take
Mistral Nemo is 3.7x cheaper for a typical chat. DeepSeek V4 Flash 0423 has the larger context window (1.05M 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 DeepSeek V4 Flash 0423 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 DeepSeek V4 Flash 0423 costs $0.09 per 1M input tokens and $0.18 per 1M output tokens.
Which has a bigger context window, DeepSeek V4 Flash 0423 or Mistral Nemo?
DeepSeek V4 Flash 0423 supports up to 1.05M tokens of context, compared with 131K for Mistral Nemo.
Can I use DeepSeek V4 Flash 0423 and Mistral Nemo at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Flash 0423 and Mistral Nemo answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4 Flash 0423 and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.