Pick Doubao Seed 2.0 Pro for powers china's most-used consumer ai app, with strong multimodal reasoning or native video understanding alongside text and image input. Pick Llama 4 Scout for largest advertised context (10m) or open weights, single-gpu friendly. Choose Llama 4 Scout if you need self-hosting or data privacy; Doubao Seed 2.0 Pro if you want a managed API.
Doubao Seed 2.0 Pro (ByteDance, China) and Llama 4 Scout (Meta, US) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. Doubao Seed 2.0 Pro is byteDance's flagship Doubao model — a cheap, multimodal reasoning model behind China's most popular AI app, with strong vendor-claimed benchmarks but undisclosed internals. Llama 4 Scout is the 10M-token open-weight giant — enormous on paper, but usable recall is far smaller. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.
Key differences
Cost model: Llama 4 Scout ships open weights you can self-host (hardware cost only, no per-token fee), while Doubao Seed 2.0 Pro is API-metered at $0.47/$2.37 per 1M tokens. Your choice depends on whether you want zero marginal cost at the price of running infrastructure.
Context window: Llama 4 Scout holds 39× more — 10M (~15,000 pages) vs 256K (~384 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Doubao Seed 2.0 Pro is the newer model by about 11 months (released February 14, 2026), usually meaning fresher training data and capabilities.
Ecosystem: this is a China-vs-US matchup — they differ in pricing philosophy, data-residency options, and tooling ecosystems, not only benchmarks.
Specifications
Spec
Doubao Seed 2.0 Pro
Llama 4 Scout
Provider
ByteDance (China)
Meta (US)
Released
February 14, 2026
April 2025
Context window
256K (~384 pages)
10M (~15,000 pages)
Price (in/out)
$0.47/$2.37 per 1M tokens
Open weight (self-host / free)
Open weight?
No — API only
Yes — self-hostable
Modalities
text, image, video, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
15%
Who wins what
Powers China's most-used consumer AI app, with strong multimodal reasoning: Doubao Seed 2.0 Pro — Llama 4 Scout is comparatively weak here — ~15% on long-context multi-needle reasoning
Native video understanding alongside text and image input: Doubao Seed 2.0 Pro — ByteDance's flagship Doubao model — a cheap, multimodal reasoning model behind China's most popular AI app, with strong vendor-claimed benchmarks but undisclosed internals — and it is the newer of the two.
Aggressively cheap for its claimed capability — around $0.47/$2.37 per million tokens: Doubao Seed 2.0 Pro — Doubao Seed 2.0 Pro lists aggressively cheap for its claimed capability — around $0.47/$2.37 per million tokens among its strengths; Llama 4 Scout does not.
Largest advertised context (10M): Llama 4 Scout — Its 10M window holds about 39× more than Doubao Seed 2.0 Pro's 256K in a single prompt.
Open weights, single-GPU friendly: Llama 4 Scout — Open weights make this possible at all — Doubao Seed 2.0 Pro is API-only, so it cannot leave the vendor's servers.
Self-hosted, data-private deployment: Llama 4 Scout — Doubao Seed 2.0 Pro is comparatively weak here — closed weights on a China-hosted API — data-privacy considerations for sensitive work
Lowest cost at scale: Llama 4 Scout — Its weights are open, so at volume you pay for your own hardware instead of Doubao Seed 2.0 Pro's $0.47/$2.37 per 1M tokens.
Largest single-prompt input: Llama 4 Scout — Its 10M window is about 39× larger than Doubao Seed 2.0 Pro's 256K, fitting roughly 15,000 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Llama 4 Scout — At Open weight (self-host / free) it undercuts Doubao Seed 2.0 Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Llama 4 Scout — Larger 10M window fits more in one prompt.
A team with data-privacy or self-hosting needs: Llama 4 Scout — Open weights let you run it on your own hardware; Doubao Seed 2.0 Pro is API-only.
Anyone whose priority is powers china's most-used consumer ai app, with strong multimodal reasoning: Doubao Seed 2.0 Pro — It is specifically built for that.
Anyone whose priority is largest advertised context (10m): Llama 4 Scout — That is its strongest area.
An enterprise with regional data-residency rules: Llama 4 Scout or Doubao Seed 2.0 Pro — Origin (China vs US) affects where data is processed and which compliance regime applies — check the provider's terms for your region.
Doubao Seed 2.0 Pro: where it fits
ByteDance's flagship Doubao model — a cheap, multimodal reasoning model behind China's most popular AI app, with strong vendor-claimed benchmarks but undisclosed internals. Released February 14, 2026 by ByteDance, it is built for powers China's most-used consumer AI app, with strong multimodal reasoning, native video understanding alongside text and image input, aggressively cheap for its claimed capability — around $0.47/$2.37 per million tokens, and byteDance reports frontier-level math and coding scores (e.g. AIME25 98.3, vendor-claimed SWE-Bench Verified 76.5).
Its trade-offs are real: byteDance discloses no parameter count or architecture details, benchmark scores are vendor-claimed; no independent Artificial Analysis index for the Pro variant yet, closed weights on a China-hosted API — data-privacy considerations for sensitive work, and smaller 256K context than the 1M-token Chinese rivals. At $0.47 in / $2.37 out per million tokens, it sits in the budget price band.
Llama 4 Scout: where it fits
The 10M-token open-weight giant — enormous on paper, but usable recall is far smaller. Released April 2025 by Meta, it is built for largest advertised context (10M), open weights, single-GPU friendly, self-hosted, data-private deployment, and retrieval over very long inputs.
Its trade-offs: effective recall degrades far below 10M, and ~15% on long-context multi-needle reasoning. As an open-weight model, its running cost is your own hardware rather than a per-token fee.
The bottom line for this matchup
The defining split here is open vs. closed. Llama 4 Scout gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Doubao Seed 2.0 Pro gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.
Frequently asked questions
Is Doubao Seed 2.0 Pro or Llama 4 Scout better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Doubao Seed 2.0 Pro leans toward powers china's most-used consumer ai app, with strong multimodal reasoning while Llama 4 Scout leans toward largest advertised context (10m), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Doubao Seed 2.0 Pro or Llama 4 Scout?
Llama 4 Scout is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Doubao Seed 2.0 Pro is API-metered at $0.47/$2.37 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.
Which has the bigger context window?
Llama 4 Scout — 10M vs 256K, about 39× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Doubao Seed 2.0 Pro and Llama 4 Scout together?
Yes — a multi-model platform like LumiChats gives you Doubao Seed 2.0 Pro, Llama 4 Scout and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Doubao Seed 2.0 Pro or Llama 4 Scout?
Doubao Seed 2.0 Pro — released February 14, 2026, about 11 months after Llama 4 Scout.
Doubao Seed 2.0 Pro vs Llama 4 Scout
ByteDance · China | Meta · US · Updated June 2026
Quick verdict
Pick Doubao Seed 2.0 Pro for powers china's most-used consumer ai app, with strong multimodal reasoning or native video understanding alongside text and image input. Pick Llama 4 Scout for largest advertised context (10m) or open weights, single-gpu friendly. Choose Llama 4 Scout if you need self-hosting or data privacy; Doubao Seed 2.0 Pro if you want a managed API.
Doubao Seed 2.0 Pro (ByteDance, China) and Llama 4 Scout (Meta, US) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. Doubao Seed 2.0 Pro is byteDance's flagship Doubao model — a cheap, multimodal reasoning model behind China's most popular AI app, with strong vendor-claimed benchmarks but undisclosed internals. Llama 4 Scout is the 10M-token open-weight giant — enormous on paper, but usable recall is far smaller. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.
Key differences at a glance
▸Cost model: Llama 4 Scout ships open weights you can self-host (hardware cost only, no per-token fee), while Doubao Seed 2.0 Pro is API-metered at $0.47/$2.37 per 1M tokens. Your choice depends on whether you want zero marginal cost at the price of running infrastructure.
▸Context window: Llama 4 Scout holds 39× more — 10M (~15,000 pages) vs 256K (~384 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Doubao Seed 2.0 Pro is the newer model by about 11 months (released February 14, 2026), usually meaning fresher training data and capabilities.
▸Ecosystem: this is a China-vs-US matchup — they differ in pricing philosophy, data-residency options, and tooling ecosystems, not only benchmarks.
Side-by-side specs
Spec
Doubao Seed 2.0 Pro
Llama 4 Scout
Provider
ByteDance (China)
Meta (US)
Released
February 14, 2026
April 2025
Context window
256K (~384 pages)
10M (~15,000 pages)
Price (in/out)
$0.47/$2.37 per 1M tokens
Open weight (self-host / free)
Open weight?
No — API only
Yes — self-hostable
Modalities
text, image, video, code
text, image, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
15%
Who wins what
Powers China's most-used consumer AI app, with strong multimodal reasoning
Doubao Seed 2.0 Pro
Llama 4 Scout is comparatively weak here — ~15% on long-context multi-needle reasoning
Native video understanding alongside text and image input
Doubao Seed 2.0 Pro
ByteDance's flagship Doubao model — a cheap, multimodal reasoning model behind China's most popular AI app, with strong vendor-claimed benchmarks but undisclosed internals — and it is the newer of the two.
Aggressively cheap for its claimed capability — around $0.47/$2.37 per million tokens
Doubao Seed 2.0 Pro
Doubao Seed 2.0 Pro lists aggressively cheap for its claimed capability — around $0.47/$2.37 per million tokens among its strengths; Llama 4 Scout does not.
Largest advertised context (10M)
Llama 4 Scout
Its 10M window holds about 39× more than Doubao Seed 2.0 Pro's 256K in a single prompt.
Open weights, single-GPU friendly
Llama 4 Scout
Open weights make this possible at all — Doubao Seed 2.0 Pro is API-only, so it cannot leave the vendor's servers.
Self-hosted, data-private deployment
Llama 4 Scout
Doubao Seed 2.0 Pro is comparatively weak here — closed weights on a China-hosted API — data-privacy considerations for sensitive work
Lowest cost at scale
Llama 4 Scout
Its weights are open, so at volume you pay for your own hardware instead of Doubao Seed 2.0 Pro's $0.47/$2.37 per 1M tokens.
Largest single-prompt input
Llama 4 Scout
Its 10M window is about 39× larger than Doubao Seed 2.0 Pro's 256K, fitting roughly 15,000 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Llama 4 Scout
At Open weight (self-host / free) it undercuts Doubao Seed 2.0 Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Llama 4 Scout
Larger 10M window fits more in one prompt.
A team with data-privacy or self-hosting needs
→ Llama 4 Scout
Open weights let you run it on your own hardware; Doubao Seed 2.0 Pro is API-only.
Anyone whose priority is powers china's most-used consumer ai app, with strong multimodal reasoning
→ Doubao Seed 2.0 Pro
It is specifically built for that.
Anyone whose priority is largest advertised context (10m)
→ Llama 4 Scout
That is its strongest area.
An enterprise with regional data-residency rules
→ Llama 4 Scout or Doubao Seed 2.0 Pro
Origin (China vs US) affects where data is processed and which compliance regime applies — check the provider's terms for your region.
Doubao Seed 2.0 Pro: where it fits
ByteDance's flagship Doubao model — a cheap, multimodal reasoning model behind China's most popular AI app, with strong vendor-claimed benchmarks but undisclosed internals. Released February 14, 2026 by ByteDance, it is built for powers China's most-used consumer AI app, with strong multimodal reasoning, native video understanding alongside text and image input, aggressively cheap for its claimed capability — around $0.47/$2.37 per million tokens, and byteDance reports frontier-level math and coding scores (e.g. AIME25 98.3, vendor-claimed SWE-Bench Verified 76.5).
Its trade-offs are real: byteDance discloses no parameter count or architecture details, benchmark scores are vendor-claimed; no independent Artificial Analysis index for the Pro variant yet, closed weights on a China-hosted API — data-privacy considerations for sensitive work, and smaller 256K context than the 1M-token Chinese rivals. At $0.47 in / $2.37 out per million tokens, it sits in the budget price band.
Llama 4 Scout: where it fits
The 10M-token open-weight giant — enormous on paper, but usable recall is far smaller. Released April 2025 by Meta, it is built for largest advertised context (10M), open weights, single-GPU friendly, self-hosted, data-private deployment, and retrieval over very long inputs.
Its trade-offs: effective recall degrades far below 10M, and ~15% on long-context multi-needle reasoning. As an open-weight model, its running cost is your own hardware rather than a per-token fee.
The bottom line for this matchup
The defining split here is open vs. closed. Llama 4 Scout gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Doubao Seed 2.0 Pro gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.
Want both Doubao Seed 2.0 Pro and Llama 4 Scout without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
Is Doubao Seed 2.0 Pro or Llama 4 Scout better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Doubao Seed 2.0 Pro leans toward powers china's most-used consumer ai app, with strong multimodal reasoning while Llama 4 Scout leans toward largest advertised context (10m), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Doubao Seed 2.0 Pro or Llama 4 Scout?
Llama 4 Scout is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Doubao Seed 2.0 Pro is API-metered at $0.47/$2.37 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.
Which has the bigger context window?
Llama 4 Scout — 10M vs 256K, about 39× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Doubao Seed 2.0 Pro and Llama 4 Scout together?
Yes — a multi-model platform like LumiChats gives you Doubao Seed 2.0 Pro, Llama 4 Scout and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Doubao Seed 2.0 Pro or Llama 4 Scout?
Doubao Seed 2.0 Pro — released February 14, 2026, about 11 months after Llama 4 Scout.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.