AI model comparison
DeepSeek V4 Pro 0813 vs Muse Spark 1.1
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
DeepSeek
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek.
- Input / 1M
- $0.66
- Output / 1M
- $1.98
- Context
- 1.05M
Meta
Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.
- Input / 1M
- $1.25
- Output / 1M
- $4.25
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V4 Pro 0813
2.0x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Pro 0813
36 vs 33.7 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
DeepSeek V4 Pro 0813
Released August 12, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4 Pro 081336Coding index
DeepSeek V4 Pro 081368.8Agentic index
DeepSeek V4 Pro 081341.3Pricing
DeepSeek V4 Pro 0813 vs Muse Spark 1.1 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4 Pro 0813 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.66 | $1.25 |
| Output tokensPer 1M tokens | $1.98 | $4.25 |
| Cached input (read)Per 1M tokens | $0.02 | $0.15 |
| 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 Pro 0813$2.31Coding task
30K in, 4K out
DeepSeek V4 Pro 0813$27.72$8.58 cachedLong document summary
150K in, 2K out
DeepSeek V4 Pro 0813$102.96$7.26 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 Pro 0813 | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 393K tokens | 944K tokens |
| Input types | Text | File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | Extra high, High, Medium, Low, Minimal |
| Default reasoning effort | High | Medium |
| Release date | August 12, 2026 | July 16, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4 Pro 0813 | |
|---|---|---|
| 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 Pro 0813View full model details- DeepSeek V4 Pro 0813 vs DeepSeek V4.1 Flash
- DeepSeek V4 Pro 0813 vs GLM 5.3 Flash
- DeepSeek V4 Pro 0813 vs MiMo-V2.6-Flash
- DeepSeek V4 Pro 0813 vs Hy4 preview
- DeepSeek V4 Pro 0813 vs GPT-6 Luna
- DeepSeek V4 Pro 0813 vs DeepSeek V4 Flash 0731
- DeepSeek V4 Pro 0813 vs Step 5 Preview
- DeepSeek V4 Pro 0813 vs Gemini 3.8 Flash
- DeepSeek V4 Pro 0813 vs GPT-5.6 Luna
- DeepSeek V4 Pro 0813 vs GLM 5.2
- DeepSeek V4 Pro 0813 vs Muse Spark 1.2
- DeepSeek V4 Pro 0813 vs Qwen3.8 27B
- DeepSeek V4 Pro 0813 vs DeepSeek V4 Flash Vision Exp
- DeepSeek V4 Pro 0813 vs Gemini 3.6 Flash
Our take
DeepSeek V4 Pro 0813 is 2.0x cheaper for a typical chat. DeepSeek V4 Pro 0813 scores higher on the Artificial Analysis Intelligence Index (36 vs 33.7). 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 Pro 0813 or Muse Spark 1.1 cheaper?
DeepSeek V4 Pro 0813 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Pro 0813 costs $0.66 per 1M input tokens and $1.98 per 1M output tokens, while Muse Spark 1.1 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens.
Which has a bigger context window, DeepSeek V4 Pro 0813 or Muse Spark 1.1?
DeepSeek V4 Pro 0813 supports up to 1.05M tokens of context, compared with 1.05M for Muse Spark 1.1.
Is DeepSeek V4 Pro 0813 smarter than Muse Spark 1.1?
On the Artificial Analysis Intelligence Index, DeepSeek V4 Pro 0813 scores 36 and Muse Spark 1.1 scores 33.7, putting DeepSeek V4 Pro 0813 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V4 Pro 0813 and Muse Spark 1.1 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Pro 0813 and Muse Spark 1.1 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4 Pro 0813 and Muse Spark 1.1 at the same time. Compare the answers side by side and keep the best one.