AI model comparison
DeepSeek V4.1 Flash vs Muse Spark 1.3 Contributor
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
- Input / 1M
- $0.30
- Output / 1M
- $1.20
- Context
- 1.05M
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows.
- Input / 1M
- $0.10
- Output / 1M
- $0.20
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Muse Spark 1.3 Contributor
4x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
DeepSeek V4.1 Flash
Released September 10, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4.1 Flash39.5Coding index
DeepSeek V4.1 FlashNot availableAgentic index
DeepSeek V4.1 FlashNot availablePricing
DeepSeek V4.1 Flash vs Muse Spark 1.3 Contributor API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4.1 Flash | |
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $0.10 |
| Output tokensPer 1M tokens | $1.20 | $0.20 |
| Cached input (read)Per 1M tokens | $0.01 | $0.00 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | Not available | $0.0025 |
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 V4.1 Flash$1.20Coding task
30K in, 4K out
DeepSeek V4.1 Flash$13.80$4.98 cachedLong document summary
150K in, 2K out
DeepSeek V4.1 Flash$47.40$3.30 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | DeepSeek V4.1 Flash | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 944K tokens |
| Input types | Image, Text | File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | Max, Extra high, High, Medium, Low, Minimal |
| Default reasoning effort | High | Medium |
| Release date | September 10, 2026 | September 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4.1 Flash | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Not 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 V4.1 FlashView full model details- DeepSeek V4.1 Flash vs GLM 5.3 Flash
- DeepSeek V4.1 Flash vs MiMo-V2.6-Flash
- DeepSeek V4.1 Flash vs Hy4 preview
- DeepSeek V4.1 Flash vs GPT-6 Luna
- DeepSeek V4.1 Flash vs DeepSeek V4 Flash 0731
- DeepSeek V4.1 Flash vs Claude Opus 5.5
- DeepSeek V4.1 Flash vs GLM 5.3
- DeepSeek V4.1 Flash vs DeepSeek V4 Flash 0423
- DeepSeek V4.1 Flash vs Step 5 Preview
- DeepSeek V4.1 Flash vs Gemini 3.8 Flash
- DeepSeek V4.1 Flash vs Hy3
- DeepSeek V4.1 Flash vs GPT-5.6 Luna
- DeepSeek V4.1 Flash vs GPT-6.1 Sol
- DeepSeek V4.1 Flash vs GLM 5.2
- DeepSeek V4.1 Flash vs Claude Sonnet 5.5
- DeepSeek V4.1 Flash vs MiMo-V2.6-Pro
- DeepSeek V4.1 Flash vs MiniMax M3
- DeepSeek V4.1 Flash vs DeepSeek V4 Pro 0813
- DeepSeek V4.1 Flash vs GPT-6 Astra
- DeepSeek V4.1 Flash vs Claude Opus 5
- DeepSeek V4.1 Flash vs Claude Fable 5.1
- DeepSeek V4.1 Flash vs Claude Sonnet 5
- DeepSeek V4.1 Flash vs DeepSeek V4 Pro 0423
- DeepSeek V4.1 Flash vs Muse Spark 1.3
- DeepSeek V4.1 Flash vs GPT-6 Luna Pro
- DeepSeek V4.1 Flash vs Qwen3.8 Max (0902)
- DeepSeek V4.1 Flash vs Claude Haiku 5.5
- DeepSeek V4.1 Flash vs Qwen3.8 27B
- DeepSeek V4.1 Flash vs Grok 4.6
- DeepSeek V4.1 Flash vs Ling 3.1 Flash
- DeepSeek V4.1 Flash vs GPT-5.6 Terra
- DeepSeek V4.1 Flash vs Claude Opus 4.8
- DeepSeek V4.1 Flash vs Qwen3.8 Flash
- DeepSeek V4.1 Flash vs Gemini 3.7 Flash
- DeepSeek V4.1 Flash vs Qwen3.7 Flash
- DeepSeek V4.1 Flash vs Claude Opus 4.7
- DeepSeek V4.1 Flash vs Qwen3.8 2.4T A95B
- DeepSeek V4.1 Flash vs Muse Spark 1.2
- DeepSeek V4.1 Flash vs GPT-5.4
- DeepSeek V4.1 Flash vs Grok 4.5
- DeepSeek V4.1 Flash vs GPT-5.5
- DeepSeek V4.1 Flash vs DeepSeek V4 Flash Vision Exp
- DeepSeek V4.1 Flash vs GLM 5.3 FlashX
- DeepSeek V4.1 Flash vs Gemini 3.6 Flash
- DeepSeek V4.1 Flash vs Muse Spark 1.1
- DeepSeek V4.1 Flash vs GPT-5.6 Luna Pro
- Muse Spark 1.3 Contributor vs GLM 5.3 Flash
- Muse Spark 1.3 Contributor vs MiMo-V2.6-Flash
- Muse Spark 1.3 Contributor vs GPT-6 Luna
- Muse Spark 1.3 Contributor vs Hy3
- Muse Spark 1.3 Contributor vs Solar Mini 4
- Muse Spark 1.3 Contributor vs MiMo-V2.5
- Muse Spark 1.3 Contributor vs Solar Pro 4
- Muse Spark 1.3 Contributor vs gpt-oss-120b
- Muse Spark 1.3 Contributor vs Qwen3.7 Flash
- Muse Spark 1.3 Contributor vs Gemma 4 26B A4B
- Muse Spark 1.3 Contributor vs Mistral Nemo
Our take
Muse Spark 1.3 Contributor is 4x cheaper for a typical chat. 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 V4.1 Flash or Muse Spark 1.3 Contributor cheaper?
Muse Spark 1.3 Contributor is cheaper for a typical chat (2K input tokens and 500 output tokens). Muse Spark 1.3 Contributor costs $0.10 per 1M input tokens and $0.20 per 1M output tokens, while DeepSeek V4.1 Flash costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, DeepSeek V4.1 Flash or Muse Spark 1.3 Contributor?
DeepSeek V4.1 Flash supports up to 1.05M tokens of context, compared with 1.05M for Muse Spark 1.3 Contributor.
Can I use DeepSeek V4.1 Flash and Muse Spark 1.3 Contributor at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4.1 Flash and Muse Spark 1.3 Contributor answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4.1 Flash and Muse Spark 1.3 Contributor at the same time. Compare the answers side by side and keep the best one.