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 NVIDIA Nemotron 3 Super for high-throughput agentic reasoning (up to 2.2x gpt-oss-120b) or 1m-token context with strong long-context retrieval (91.6% ruler @ 1m). Choose NVIDIA Nemotron 3 Super 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 NVIDIA Nemotron 3 Super (NVIDIA, 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. NVIDIA Nemotron 3 Super is nVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.
Key differences
Cost model: NVIDIA Nemotron 3 Super 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: NVIDIA Nemotron 3 Super holds 3.9× more — 1M (~1,500 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: NVIDIA Nemotron 3 Super is the newer model by about 25 days (released March 11, 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
NVIDIA Nemotron 3 Super
Provider
ByteDance (China)
NVIDIA (US)
Released
February 14, 2026
March 11, 2026
Context window
256K (~384 pages)
1M (~1,500 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, code
SWE-Bench Verified
Not published
60.47%
MRCR v2 @ 1M
Not published
Not published
Who wins what
Powers China's most-used consumer AI app, with strong multimodal reasoning: Doubao Seed 2.0 Pro — Doubao Seed 2.0 Pro lists powers China's most-used consumer AI app, with strong multimodal reasoning among its strengths; NVIDIA Nemotron 3 Super does not.
Native video understanding alongside text and image input: Doubao Seed 2.0 Pro — NVIDIA Nemotron 3 Super is comparatively weak here — text-only; no image, audio, or video input
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; NVIDIA Nemotron 3 Super does not.
High-throughput agentic reasoning (up to 2.2x GPT-OSS-120B): NVIDIA Nemotron 3 Super — NVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context — and it carries the larger 1M context.
1M-token context with strong long-context retrieval (91.6% RULER @ 1M): NVIDIA Nemotron 3 Super — Its 1M window holds about 3.9× more than Doubao Seed 2.0 Pro's 256K in a single prompt.
Strong math reasoning (90.21% AIME 2025): NVIDIA Nemotron 3 Super — NVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context — and its weights are open while Doubao Seed 2.0 Pro is API-only.
Lowest cost at scale: NVIDIA Nemotron 3 Super — 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: NVIDIA Nemotron 3 Super — Its 1M window is about 3.9× larger than Doubao Seed 2.0 Pro's 256K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: NVIDIA Nemotron 3 Super — 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: NVIDIA Nemotron 3 Super — Larger 1M window fits more in one prompt.
A team with data-privacy or self-hosting needs: NVIDIA Nemotron 3 Super — 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 high-throughput agentic reasoning (up to 2.2x gpt-oss-120b): NVIDIA Nemotron 3 Super — That is its strongest area.
An enterprise with regional data-residency rules: NVIDIA Nemotron 3 Super 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.
NVIDIA Nemotron 3 Super: where it fits
NVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context. Released March 11, 2026 by NVIDIA, it is built for high-throughput agentic reasoning (up to 2.2x GPT-OSS-120B), 1M-token context with strong long-context retrieval (91.6% RULER @ 1M), strong math reasoning (90.21% AIME 2025), and fully open weights, datasets, and recipes for self-hosting.
Its trade-offs: text-only; no image, audio, or video input, and requires roughly 8x H100-80GB GPUs to self-host at BF16. 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. NVIDIA Nemotron 3 Super 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 NVIDIA Nemotron 3 Super better for coding?
Public SWE-Bench figures are not available for Doubao Seed 2.0 Pro, 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 NVIDIA Nemotron 3 Super leans toward high-throughput agentic reasoning (up to 2.2x gpt-oss-120b), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Doubao Seed 2.0 Pro or NVIDIA Nemotron 3 Super?
NVIDIA Nemotron 3 Super 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?
NVIDIA Nemotron 3 Super — 1M vs 256K, about 3.9× 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 NVIDIA Nemotron 3 Super together?
Yes — a multi-model platform like LumiChats gives you Doubao Seed 2.0 Pro, NVIDIA Nemotron 3 Super 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 NVIDIA Nemotron 3 Super?
NVIDIA Nemotron 3 Super — released March 11, 2026, about 25 days after Doubao Seed 2.0 Pro.
Doubao Seed 2.0 Pro vs NVIDIA Nemotron 3 Super
ByteDance · China | NVIDIA · 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 NVIDIA Nemotron 3 Super for high-throughput agentic reasoning (up to 2.2x gpt-oss-120b) or 1m-token context with strong long-context retrieval (91.6% ruler @ 1m). Choose NVIDIA Nemotron 3 Super 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 NVIDIA Nemotron 3 Super (NVIDIA, 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. NVIDIA Nemotron 3 Super is nVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context. 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: NVIDIA Nemotron 3 Super 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: NVIDIA Nemotron 3 Super holds 3.9× more — 1M (~1,500 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: NVIDIA Nemotron 3 Super is the newer model by about 25 days (released March 11, 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
NVIDIA Nemotron 3 Super
Provider
ByteDance (China)
NVIDIA (US)
Released
February 14, 2026
March 11, 2026
Context window
256K (~384 pages)
1M (~1,500 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, code
SWE-Bench Verified
Not published
60.47%
MRCR v2 @ 1M
Not published
Not published
Who wins what
Powers China's most-used consumer AI app, with strong multimodal reasoning
Doubao Seed 2.0 Pro
Doubao Seed 2.0 Pro lists powers China's most-used consumer AI app, with strong multimodal reasoning among its strengths; NVIDIA Nemotron 3 Super does not.
Native video understanding alongside text and image input
Doubao Seed 2.0 Pro
NVIDIA Nemotron 3 Super is comparatively weak here — text-only; no image, audio, or video input
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; NVIDIA Nemotron 3 Super does not.
High-throughput agentic reasoning (up to 2.2x GPT-OSS-120B)
NVIDIA Nemotron 3 Super
NVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context — and it carries the larger 1M context.
1M-token context with strong long-context retrieval (91.6% RULER @ 1M)
NVIDIA Nemotron 3 Super
Its 1M window holds about 3.9× more than Doubao Seed 2.0 Pro's 256K in a single prompt.
Strong math reasoning (90.21% AIME 2025)
NVIDIA Nemotron 3 Super
NVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context — and its weights are open while Doubao Seed 2.0 Pro is API-only.
Lowest cost at scale
NVIDIA Nemotron 3 Super
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
NVIDIA Nemotron 3 Super
Its 1M window is about 3.9× larger than Doubao Seed 2.0 Pro's 256K, fitting roughly 1,500 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ NVIDIA Nemotron 3 Super
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
→ NVIDIA Nemotron 3 Super
Larger 1M window fits more in one prompt.
A team with data-privacy or self-hosting needs
→ NVIDIA Nemotron 3 Super
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 high-throughput agentic reasoning (up to 2.2x gpt-oss-120b)
→ NVIDIA Nemotron 3 Super
That is its strongest area.
An enterprise with regional data-residency rules
→ NVIDIA Nemotron 3 Super 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.
NVIDIA Nemotron 3 Super: where it fits
NVIDIA's open 120B-total/12B-active hybrid Mamba-Transformer MoE built for high-throughput agentic reasoning at 1M-token context. Released March 11, 2026 by NVIDIA, it is built for high-throughput agentic reasoning (up to 2.2x GPT-OSS-120B), 1M-token context with strong long-context retrieval (91.6% RULER @ 1M), strong math reasoning (90.21% AIME 2025), and fully open weights, datasets, and recipes for self-hosting.
Its trade-offs: text-only; no image, audio, or video input, and requires roughly 8x H100-80GB GPUs to self-host at BF16. 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. NVIDIA Nemotron 3 Super 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 NVIDIA Nemotron 3 Super 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 NVIDIA Nemotron 3 Super better for coding?
Public SWE-Bench figures are not available for Doubao Seed 2.0 Pro, 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 NVIDIA Nemotron 3 Super leans toward high-throughput agentic reasoning (up to 2.2x gpt-oss-120b), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Doubao Seed 2.0 Pro or NVIDIA Nemotron 3 Super?
NVIDIA Nemotron 3 Super 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?
NVIDIA Nemotron 3 Super — 1M vs 256K, about 3.9× 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 NVIDIA Nemotron 3 Super together?
Yes — a multi-model platform like LumiChats gives you Doubao Seed 2.0 Pro, NVIDIA Nemotron 3 Super 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 NVIDIA Nemotron 3 Super?
NVIDIA Nemotron 3 Super — released March 11, 2026, about 25 days after Doubao Seed 2.0 Pro.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.