AI model comparison
Muse Spark 1.3 Contributor vs DeepSeek V4 Flash 0731
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
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
DeepSeek
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total.
- Input / 1M
- $0.02
- Output / 1M
- $0.64
- 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
1.2x 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
Muse Spark 1.3 Contributor
Released September 2, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4 Flash 073134.3Coding index
DeepSeek V4 Flash 073169.1Agentic index
DeepSeek V4 Flash 073141Pricing
Muse Spark 1.3 Contributor vs DeepSeek V4 Flash 0731 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Flash 0731 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.02 |
| Output tokensPer 1M tokens | $0.20 | $0.64 |
| Cached input (read)Per 1M tokens | $0.00 | $0.02 |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | $0.0025 | 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 0731$0.36Coding task
30K in, 4K out
DeepSeek V4 Flash 0731$3.10$3.10 cachedLong document summary
150K in, 2K out
DeepSeek V4 Flash 0731$3.98$3.98 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 Flash 0731 | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 944K tokens |
| Input types | File, Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, Minimal | Max, High, Low |
| Default reasoning effort | Medium | High |
| Release date | September 2, 2026 | July 31, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Flash 0731 | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not 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.
- Muse Spark 1.3 Contributor vs DeepSeek V4.1 Flash
- 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 gpt-oss-120b
- Muse Spark 1.3 Contributor vs Gemma 4 26B A4B
- Muse Spark 1.3 Contributor vs Qwen3.7 Flash
- Muse Spark 1.3 Contributor vs Mistral Nemo
DeepSeek V4 Flash 0731View full model details- DeepSeek V4 Flash 0731 vs DeepSeek V4.1 Flash
- DeepSeek V4 Flash 0731 vs GLM 5.3 Flash
- DeepSeek V4 Flash 0731 vs MiMo-V2.6-Flash
- DeepSeek V4 Flash 0731 vs Hy4 preview
- DeepSeek V4 Flash 0731 vs Step 5 Preview
- DeepSeek V4 Flash 0731 vs GPT-6 Luna
- DeepSeek V4 Flash 0731 vs Claude Opus 5.5
- DeepSeek V4 Flash 0731 vs GLM 5.3
- DeepSeek V4 Flash 0731 vs DeepSeek V4 Flash 0423
- DeepSeek V4 Flash 0731 vs Hy3
- DeepSeek V4 Flash 0731 vs Claude Sonnet 5.5
- DeepSeek V4 Flash 0731 vs GPT-5.6 Luna
- DeepSeek V4 Flash 0731 vs GLM 5.2
- DeepSeek V4 Flash 0731 vs MiniMax M3
- DeepSeek V4 Flash 0731 vs DeepSeek V4 Pro 0813
- DeepSeek V4 Flash 0731 vs Claude Haiku 5.5
- DeepSeek V4 Flash 0731 vs Solar Pro 4
- DeepSeek V4 Flash 0731 vs DeepSeek V4 Pro 0423
- DeepSeek V4 Flash 0731 vs Qwen3.8 27B
- DeepSeek V4 Flash 0731 vs Qwen3.8 Flash
- DeepSeek V4 Flash 0731 vs GPT-6 Luna Pro
- DeepSeek V4 Flash 0731 vs GLM 5.3 FlashX
- DeepSeek V4 Flash 0731 vs DeepSeek V4 Flash Vision Exp
- DeepSeek V4 Flash 0731 vs Gemini 3.6 Flash
- DeepSeek V4 Flash 0731 vs Muse Spark 1.1
Our take
Muse Spark 1.3 Contributor is 1.2x 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 Muse Spark 1.3 Contributor or DeepSeek V4 Flash 0731 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 Flash 0731 costs $0.02 per 1M input tokens and $0.64 per 1M output tokens.
Which has a bigger context window, Muse Spark 1.3 Contributor or DeepSeek V4 Flash 0731?
Muse Spark 1.3 Contributor supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4 Flash 0731.
Can I use Muse Spark 1.3 Contributor and DeepSeek V4 Flash 0731 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Spark 1.3 Contributor and DeepSeek V4 Flash 0731 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Muse Spark 1.3 Contributor and DeepSeek V4 Flash 0731 at the same time. Compare the answers side by side and keep the best one.