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

Doubao Seed 2.1 Turbo vs Muse Spark 1.1

Doubao Seed 2.1 Turbo wins on Overall, Coding; Muse Spark 1.1 wins on Multimodal. 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 Turbo when coding depth, long-context reliability matter most; choose Muse Spark 1.1 when lower cost is the priority.

Choose Doubao Seed 2.1 Turbo if you…

  • Low price
  • Video support
  • Fast
  • Built for volume
  • Best for: Volume production, Video, Low cost

Choose Muse Spark 1.1 if you…

  • Completely free open weights
  • By Meta
  • Self-hostable
  • Multimodal
  • Best for: Open research, Local deployment, Experimental
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 22 tracked models.

Doubao Seed 2.1 Turbo Higher overall
ByteDance · #20 overall
Overall63
Coding61
Multimodal73
VS
Muse Spark 1.1
Meta · #22 overall
Overall61
Coding59
Multimodal75

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 TurboMuse Spark 1.1Verdict
VendorByteDance (CN)Meta (US)Different vendors
Released2026.062026.08Muse Spark 1.1 is newer
Overall (rank)63 · #2061 · #22Doubao Seed 2.1 Turbo +2
Coding61 · #1959 · #21Doubao Seed 2.1 Turbo +2
Multimodal73 · #1775 · #15Muse Spark 1.1 +2
Context window256K256KTie
Max output256K64KMuse Spark 1.1 longer
Effective-context9080Doubao Seed 2.1 Turbo more reliable
Input $/1M$0.42FreeMuse Spark 1.1 cheaper
Output $/1M$2.08FreeMuse Spark 1.1 cheaper
Cache discountcustomnoneMuse Spark 1.1 deeper
Speed~75 tok/sHardware-dependentDoubao Seed 2.1 Turbo faster
TTFT0.4sHardware-dependentDoubao Seed 2.1 Turbo snappier
Function calling8065Doubao Seed 2.1 Turbo ahead
Refusal rate~10%~4%Muse Spark 1.1 less restrictive
English6878Muse Spark 1.1
Chinese9060Doubao Seed 2.1 Turbo
Modalitiestext, image, videotext, imagedifferent coverage
Open weightsNoYesMuse Spark 1.1 is open
Fine-tuningYesYes
Free tierDoubao App freeFully free (model weights)
SOC2 / no-trainno / yesno / yes
Private deploymentYesYesBoth support it

Fields drawn from vendor public documentation and the Modelspectra 22-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 Turbo leads the overall aggregate by 2 points (63 vs 61). That is a meaningful, not marginal, edge on hard, multi-step reasoning, while Muse Spark 1.1 remains a strong generalist that is not out of its depth on routine work.

Agentic coding

This is a modest gap: Doubao Seed 2.1 Turbo scores 61 against 59. On multi-file edits, SWE-style tickets and long-horizon agent loops Doubao Seed 2.1 Turbo needs fewer correction turns; Muse Spark 1.1 is still competent for scripts and assisted completion but trails as task complexity rises.

Multimodal

Muse Spark 1.1 leads multimodal 75 vs 73. A concrete modality difference: Doubao Seed 2.1 Turbo additionally handles video.

Speed & latency

Muse Spark 1.1 is self-hosted, so its speed depends on your hardware; against a managed API like Doubao Seed 2.1 Turbo (~75 tok/s, 0.4s TTFT) compare on your own infrastructure before assuming latency.

Context: window vs usable recall

Nominal windows are 256K for Doubao Seed 2.1 Turbo and 256K for Muse Spark 1.1. Effective-context scores point the same way as window size — Doubao Seed 2.1 Turbo is ahead on usable recall (90 vs 80), so prefer it for long-document work where details cannot be missed.

Price & total cost

Muse Spark 1.1 is free open weights (you pay only for the infrastructure you run it on), while Doubao Seed 2.1 Turbo is a paid API at $0.42/$2.08 per 1M tokens. The real comparison is total cost of ownership — GPU/ops against a managed bill — not list price alone.

Chinese vs English

English: Doubao Seed 2.1 Turbo 68 vs Muse Spark 1.1 78. Chinese: 90 vs 60. For Chinese-language production, Doubao Seed 2.1 Turbo 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 Turbo 80 vs Muse Spark 1.1 65, so Doubao Seed 2.1 Turbo has the edge on structured tool use. Fine-tuning is available from Doubao Seed 2.1 Turbo and Muse Spark 1.1. 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.

Cost note: one of these models is free open weights, so a per-token monthly bill does not apply — budget instead for GPU and operations. The paid API counterpart works out to roughly $104/month at list for this workload.

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 Doubao Seed 2.1 Turbo (coding 61 vs 59).
IF you serve real-time users and latency is a product KPI  →  choose Doubao Seed 2.1 Turbo (~75 tok/s, 0.4s TTFT).
IF you need free, self-hostable weights and can run your own GPU/ops  →  choose Muse Spark 1.1 (free open weights).
IF long-document recall has to be near-perfect  →  choose Doubao Seed 2.1 Turbo (effective context 90 vs 80).
07

Frequently asked questions

Does Doubao Seed 2.1 Turbo's higher refusal rate matter in production?
Doubao Seed 2.1 Turbo refuses about 10% of prompts versus 4% for Muse Spark 1.1. In unattended pipelines that means more retries, fallbacks and manual review, raising effective cost and latency even when the token price is lower.
Does the bigger context window actually matter?
Nominal windows are Doubao Seed 2.1 Turbo (256K) and Muse Spark 1.1 (256K), but usable recall follows the effective-context score (90 vs 80). 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 Turbo is the Chinese model (Chinese score 90, domestic cloud, possible private deployment) while Muse Spark 1.1 is the global model (Chinese 60, overseas API). Pick by language quality, access path and where data must reside.
Can I self-host either model?
Muse Spark 1.1 ships open weights and can be self-hosted (GPU permitting) for data control; Doubao Seed 2.1 Turbo is a closed managed API with no self-hosting. Choose open weights when residency or cost-at-scale dominates, managed API for convenience.
Which handles multimodal inputs better?
Multimodal scores are 73 (Doubao Seed 2.1 Turbo) vs 75 (Muse Spark 1.1), with modality coverage text/image/video versus text/image. Match the model to the input types your product actually receives.
What is the single-line recommendation?
Choose Doubao Seed 2.1 Turbo for Volume production, Video; choose Muse Spark 1.1 for Open research, Local deployment.