MModelspectraIndependent AI Model Intelligence
Head-to-head · Updated 2026-09-08
中文
Model Comparison · Head to Head

Doubao Seed 2.1 Pro vs Muse Spark 1.3

Doubao Seed 2.1 Pro wins on Overall, Multimodal; Muse Spark 1.3 wins on Coding. Every numeric field is compared below, with a worked monthly-cost example and a pick rule for each use case.

VendorByteDance / Meta
Data fields15+ dimensions
Updated2026-09-08
Read~9 min
01

Verdict at a glance

Bottom line: Choose Doubao Seed 2.1 Pro when long-context reliability matter most; choose Muse Spark 1.3 when lower latency is the priority.

Choose Doubao Seed 2.1 Pro if you…

  • World-leading video understanding
  • Excellent Chinese
  • Strong agent ability
  • Full 256K context
  • Best for: Video understanding, Chinese tasks, AI agents

Choose Muse Spark 1.3 if you…

  • #1 DeepSWE long-horizon coding
  • Open weights, self-hostable
  • Extremely low cost
  • Fast
  • Best for: Coding, Open-source deployment, Budget
02

Head-to-head aggregate scores

Scores are 0–100, aggregated from public benchmark information and independently weighted across three leaderboards. Rank is out of 26 tracked models.

Doubao Seed 2.1 Pro Higher overall
ByteDance · #9 overall
Overall78
Coding76
Multimodal92
VS
Muse Spark 1.3
Meta · #22 overall
Overall64
Coding88
Multimodal76

Aggregated from public sources and independently weighted; methodology on the Terms page. Scores within 3 points are treated as statistically tied.

03

Specs & pricing — every field side by side

List API prices in USD per 1M tokens. The highlighted cell is the stronger value/capability on that row.

DimensionDoubao Seed 2.1 ProMuse Spark 1.3Verdict
VendorByteDance (CN)Meta (US)Different vendors
Released2026.062026.09Muse Spark 1.3 is newer
Overall (rank)78 · #964 · #22Doubao Seed 2.1 Pro +14
Coding76 · #1088 · #5Muse Spark 1.3 +12
Multimodal92 · #376 · #17Doubao Seed 2.1 Pro +16
Context window256K256KTie
Max output256K64KMuse Spark 1.3 longer
Effective-context9385Doubao Seed 2.1 Pro more reliable
Input $/1M$0.83$1.25Doubao Seed 2.1 Pro cheaper
Output $/1M$4.17$4.25Doubao Seed 2.1 Pro cheaper
Cache discountcustomnoneMuse Spark 1.3 deeper
Speed~65 tok/s~70 tok/sMuse Spark 1.3 faster
TTFT0.5s0.4sMuse Spark 1.3 snappier
Function calling8572Doubao Seed 2.1 Pro ahead
Refusal rate~11%~4%Muse Spark 1.3 less restrictive
English7284Muse Spark 1.3
Chinese9562Doubao Seed 2.1 Pro
Modalitiestext, image, videotext, imagedifferent coverage
Open weightsNoYesMuse Spark 1.3 is open
Fine-tuningYesYes
Free tierDoubao App free; free quota on the Ark platformOpen weights free to self-host; hosted API at $1.25/$4.25 per 1M
SOC2 / no-trainno / yesno / yes
Private deploymentYesYesBoth support it

Fields drawn from vendor public documentation and the Modelspectra 26-model dataset; speed varies with network, concurrency and prompt length. Verify current pricing before purchase.

04

Dimension-by-dimension analysis

Reasoning & overall intelligence

Doubao Seed 2.1 Pro leads the overall aggregate by 14 points (78 vs 64). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Muse Spark 1.3 remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a clear gap: Muse Spark 1.3 scores 88 against 76. On multi-file edits, SWE-style tickets and long-horizon agent loops Muse Spark 1.3 needs fewer correction turns; Doubao Seed 2.1 Pro is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Doubao Seed 2.1 Pro leads multimodal 92 vs 76. A concrete modality difference: Doubao Seed 2.1 Pro additionally handles video.

Speed & latency

Muse Spark 1.3 is faster in interactive use: ~70 tok/s with 0.4s TTFT versus ~65 tok/s with 0.5s TTFT (about 1.1× the throughput). For conversational UIs where perceived responsiveness drives retention, that edge is a real product factor even when raw reasoning is lower.

Context: window vs usable recall

Nominal windows are 256K for Doubao Seed 2.1 Pro and 256K for Muse Spark 1.3. Effective-context scores point the same way as window size — Doubao Seed 2.1 Pro is ahead on usable recall (93 vs 85), so prefer it for long-document work where details cannot be missed.

Price & total cost

Doubao Seed 2.1 Pro is the cheaper API at $0.83/$4.17 versus Muse Spark 1.3 at $1.25/$4.25 per 1M input/output tokens — list input is about 1.5× lower.

Chinese vs English

English: Doubao Seed 2.1 Pro 72 vs Muse Spark 1.3 84. Chinese: 95 vs 62. For Chinese-language production, Doubao Seed 2.1 Pro is the stronger pick. Note that non-Chinese models generally require overseas network access for their APIs.

Tool use & ecosystem

Function-calling score: Doubao Seed 2.1 Pro 85 vs Muse Spark 1.3 72, so Doubao Seed 2.1 Pro has the edge on structured tool use. Fine-tuning is available from Doubao Seed 2.1 Pro and Muse Spark 1.3. Factor in existing SDK/plugin familiarity — switching cost often outweighs a few-point tool-use gap.

05

Cost worked example — same workload, real token math

Assume a production workload of 100M input + 30M output tokens per month, with 90% of input tokens served from cache. Figures use public list prices.

Scenario · per monthDoubao Seed 2.1 ProMuse Spark 1.3Gap
List priceno cache applied$208100M in × $0.83  +  30M out × $4.17$252100M in × $1.25  +  30M out × $4.251.21×gap
With caching90% of inputs cache-hit$208no published cache discount$252no published cache discount1.21×gap

Illustrative model; your input/output mix and cache-hit ratio change the result. Prices are list rates before any enterprise agreement.

06

Decision tree

IF the workload is agentic or multi-file coding and a wrong first pass is expensive  →  choose Muse Spark 1.3 (coding 88 vs 76).
IF you serve real-time users and latency is a product KPI  →  choose Muse Spark 1.3 (~70 tok/s, 0.4s TTFT).
IF you are cost-driven at scale on routine, high-volume workloads  →  choose Doubao Seed 2.1 Pro ($$0.83/$$4.17 per 1M in/out).
IF long-document recall has to be near-perfect  →  choose Doubao Seed 2.1 Pro (effective context 93 vs 85).
07

Frequently asked questions

Which is better for agentic coding?
Muse Spark 1.3 is decisively stronger for coding (88 vs 76 on the aggregate). The gap shows on SWE-style multi-file tasks and long agent loops that need fewer correction turns; Doubao Seed 2.1 Pro is fine for routine scripts.
Does Doubao Seed 2.1 Pro's higher refusal rate matter in production?
Doubao Seed 2.1 Pro refuses about 11% of prompts versus 4% for Muse Spark 1.3. In unattended pipelines that means more retries, fallbacks and manual review, raising effective cost and latency even when the token price is lower.
How do costs compare at 100M tokens/month with caching?
At 100M input + 30M output with 90% of inputs cache-hit, Doubao Seed 2.1 Pro is about $208/month and Muse Spark 1.3 about $252/month after cache discounts ($208 and $252 at list).
Does the bigger context window actually matter?
Nominal windows are Doubao Seed 2.1 Pro (256K) and Muse Spark 1.3 (256K), but usable recall follows the effective-context score (93 vs 85). Prefer the higher effective-context model for long-document work where nothing can be missed.
How do they differ for Chinese-language and data-residency use?
Doubao Seed 2.1 Pro is the Chinese model (Chinese score 95, domestic cloud, possible private deployment) while Muse Spark 1.3 is the global model (Chinese 62, overseas API). Pick by language quality, access path and where data must reside.
Can I self-host either model?
Muse Spark 1.3 ships open weights and can be self-hosted (GPU permitting) for data control; Doubao Seed 2.1 Pro is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.