DeepSeek V4 Flash Vision Exp vs Muse Spark 1.3 Contributor
Muse Spark 1.3 Contributor costs 6.6x less per output token than DeepSeek V4 Flash Vision Exp ($0.20 vs $1.32 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- 56.4
- Output $/M
- $1.32
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.20
DeepSeek V4 Flash Vision Exp or Muse Spark 1.3 Contributor: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. DeepSeek V4 Flash Vision Exp has results on LiveBench coding, AA Coding Index and SciCode; Muse Spark 1.3 Contributor has none yet. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only DeepSeek V4 Flash Vision Exp has a AA Intelligence Index result, 34.8.
Directional only
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Flash Vision Exp has a AA Agentic Index result, 47.5.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.3 Contributor
DeepSeek V4 Flash Vision Exp $0.0011, Muse Spark 1.3 Contributor $0.0002 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4 Flash Vision Exp not benchmarked, Muse Spark 1.3 Contributor not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- DeepSeek V4 Flash Vision Exp $1.32 against Muse Spark 1.3 Contributor $0.20 per million output tokens, 6.6x apart.
- Context window
- Both take 1.05M tokens.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index3 boards measured
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| LiveBench coding | 37.6% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| AA Coding Index | 65.0 | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| SciCode | 49.7% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Neither model has a result on the other 36 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.8 | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| AA Agentic Index | 47.5 | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench research | 69.2% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench browser | 64.0% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| LiveBench long agentic | 39.0% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| LiveBench reasoning | 85.4% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| GPQA Diamond (Artificial Analysis run) | 91.3% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Neither model has a result on the other 19 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| LiveBench design | 70.7% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Neither model has a result on the other 8 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | DeepSeek V4 Flash Vision Exp | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.5% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Long context reasoning (AA-LCR) | 81.3% | Not measured | Only DeepSeek V4 Flash Vision Exp measured |
| Neither model has a result on the other 44 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Muse Spark 1.3 Contributor costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.3 Contributor costs less
Agent loop
200K input + 10K output tokens
Muse Spark 1.3 Contributor costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | DeepSeek V4 Flash Vision Exp | Meta Muse Spark 1.3 Contributor |
|---|---|---|
| Maker | DeepSeek | Meta |
| Weights | Open weights | No public weights listed |
| Released | August 21, 2026 | September 2, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.44 | $0.10 |
| Output $/Mtok | $1.32 | $0.20 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash Vision Exp better than Muse Spark 1.3 Contributor for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, DeepSeek V4 Flash Vision Exp or Muse Spark 1.3 Contributor?
DeepSeek V4 Flash Vision Exp costs $0.44 per million input tokens and $1.32 per million output tokens; Muse Spark 1.3 Contributor costs $0.10 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4 Flash Vision Exp or Muse Spark 1.3 Contributor?
Neither: both take 1.05M tokens.
Has any benchmark tested both DeepSeek V4 Flash Vision Exp and Muse Spark 1.3 Contributor?
No benchmark has tested both yet. DeepSeek V4 Flash Vision Exp has results on LiveBench coding, AA Coding Index and SciCode; Muse Spark 1.3 Contributor has none yet. Compare them on price and context instead. Data as of October 22, 2026.