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 GLM 4.7 for genuinely permissive open weights — an mit-licensed 358b mixture-of-experts with no commercial restrictions or strong agentic coding for the price — 73.8% on swe-bench verified undercut most closed frontier models at launch. Choose GLM 4.7 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) and GLM 4.7 (Z.ai) are two of the models people most often weigh against each other in 2026. 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. GLM 4.7 is an MIT-licensed 358B open mixture-of-experts with strong 73.8% SWE-Bench Verified coding — but two generations behind GLM 5.2. They diverge most on price, context window and open vs. closed weights — each quantified below from the models' real specs.
Key differences
Price: nearly identical — $0.47/$2.37 per 1M tokens vs $0.6/$2.2 per 1M tokens. Cost will not be the deciding factor here.
Context window: Doubao Seed 2.0 Pro holds 1.3× more — 256K (~384 pages) vs 200K (~304 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 54 days (released February 14, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Doubao Seed 2.0 Pro
GLM 4.7
Provider
ByteDance (China)
Z.ai (China)
Released
February 14, 2026
December 22, 2025
Context window
256K (~384 pages)
200K (~304 pages)
Price (in/out)
$0.47/$2.37 per 1M tokens
$0.6/$2.2 per 1M tokens
Open weight?
No — API only
Yes — self-hostable
Modalities
text, image, video, code
text, code
SWE-Bench Verified
Not published
73.8%
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 — 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 runs cheaper at $0.47/$2.37 per 1M tokens.
Native video understanding alongside text and image input: Doubao Seed 2.0 Pro — Its 256K window holds about 1.3× more than GLM 4.7's 200K in a single prompt.
Aggressively cheap for its claimed capability — around $0.47/$2.37 per million tokens: Doubao Seed 2.0 Pro — At $0.47/$2.37 per 1M tokens it undercuts GLM 4.7 ($0.6/$2.2 per 1M tokens), and that gap compounds at volume.
Genuinely permissive open weights — an MIT-licensed 358B mixture-of-experts with no commercial restrictions: GLM 4.7 — Open weights make this possible at all — Doubao Seed 2.0 Pro is API-only, so it cannot leave the vendor's servers.
Strong agentic coding for the price — 73.8% on SWE-Bench Verified undercut most closed frontier models at launch: GLM 4.7 — Doubao Seed 2.0 Pro is comparatively weak here — benchmark scores are vendor-claimed; no independent Artificial Analysis index for the Pro variant yet
An unusually generous 128K maximum output, which suits bulk refactors and long generation: GLM 4.7 — An MIT-licensed 358B open mixture-of-experts with strong 73.8% SWE-Bench Verified coding — but two generations behind GLM 5.2 — and its weights are open while Doubao Seed 2.0 Pro is API-only.
Lowest cost at scale: Doubao Seed 2.0 Pro — At $0.47/$2.37 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: Doubao Seed 2.0 Pro — Its 256K window is about 1.3× larger than GLM 4.7's 200K, fitting roughly 384 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Doubao Seed 2.0 Pro — At $0.47/$2.37 per 1M tokens it undercuts GLM 4.7, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Doubao Seed 2.0 Pro — Larger 256K window fits more in one prompt.
A team with data-privacy or self-hosting needs: GLM 4.7 — 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 genuinely permissive open weights — an mit-licensed 358b mixture-of-experts with no commercial restrictions: GLM 4.7 — That is its strongest area.
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.
GLM 4.7: where it fits
An MIT-licensed 358B open mixture-of-experts with strong 73.8% SWE-Bench Verified coding — but two generations behind GLM 5.2. Released December 22, 2025 by Z.ai, it is built for genuinely permissive open weights — an MIT-licensed 358B mixture-of-experts with no commercial restrictions, strong agentic coding for the price — 73.8% on SWE-Bench Verified undercut most closed frontier models at launch, an unusually generous 128K maximum output, which suits bulk refactors and long generation, and cheap long-running agent loops thanks to aggressive prompt caching.
Its trade-offs: two generations behind — GLM 5, 5.1 and 5.2 have all shipped since, and new builds should default to those, its Verified lead narrows sharply on harder evaluations like SWE-Bench Pro, and text-only with no vision, and self-hosting a 358B model is a serious hardware commitment. At $0.6 in / $2.2 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
The defining split here is open vs. closed. GLM 4.7 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 GLM 4.7 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 GLM 4.7 leans toward genuinely permissive open weights — an mit-licensed 358b mixture-of-experts with no commercial restrictions, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Doubao Seed 2.0 Pro or GLM 4.7?
GLM 4.7 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?
Doubao Seed 2.0 Pro — 256K vs 200K, about 1.3× 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 GLM 4.7 together?
Yes — a multi-model platform like LumiChats gives you Doubao Seed 2.0 Pro, GLM 4.7 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 GLM 4.7?
Doubao Seed 2.0 Pro — released February 14, 2026, about 54 days after GLM 4.7.
Doubao Seed 2.0 Pro vs GLM 4.7
ByteDance · China | Z.ai · China · 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 GLM 4.7 for genuinely permissive open weights — an mit-licensed 358b mixture-of-experts with no commercial restrictions or strong agentic coding for the price — 73.8% on swe-bench verified undercut most closed frontier models at launch. Choose GLM 4.7 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) and GLM 4.7 (Z.ai) are two of the models people most often weigh against each other in 2026. 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. GLM 4.7 is an MIT-licensed 358B open mixture-of-experts with strong 73.8% SWE-Bench Verified coding — but two generations behind GLM 5.2. 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
▸Price: nearly identical — $0.47/$2.37 per 1M tokens vs $0.6/$2.2 per 1M tokens. Cost will not be the deciding factor here.
▸Context window: Doubao Seed 2.0 Pro holds 1.3× more — 256K (~384 pages) vs 200K (~304 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 54 days (released February 14, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Doubao Seed 2.0 Pro
GLM 4.7
Provider
ByteDance (China)
Z.ai (China)
Released
February 14, 2026
December 22, 2025
Context window
256K (~384 pages)
200K (~304 pages)
Price (in/out)
$0.47/$2.37 per 1M tokens
$0.6/$2.2 per 1M tokens
Open weight?
No — API only
Yes — self-hostable
Modalities
text, image, video, code
text, code
SWE-Bench Verified
Not published
73.8%
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
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 runs cheaper at $0.47/$2.37 per 1M tokens.
Native video understanding alongside text and image input
Doubao Seed 2.0 Pro
Its 256K window holds about 1.3× more than GLM 4.7's 200K in a single prompt.
Aggressively cheap for its claimed capability — around $0.47/$2.37 per million tokens
Doubao Seed 2.0 Pro
At $0.47/$2.37 per 1M tokens it undercuts GLM 4.7 ($0.6/$2.2 per 1M tokens), and that gap compounds at volume.
Genuinely permissive open weights — an MIT-licensed 358B mixture-of-experts with no commercial restrictions
GLM 4.7
Open weights make this possible at all — Doubao Seed 2.0 Pro is API-only, so it cannot leave the vendor's servers.
Strong agentic coding for the price — 73.8% on SWE-Bench Verified undercut most closed frontier models at launch
GLM 4.7
Doubao Seed 2.0 Pro is comparatively weak here — benchmark scores are vendor-claimed; no independent Artificial Analysis index for the Pro variant yet
An unusually generous 128K maximum output, which suits bulk refactors and long generation
GLM 4.7
An MIT-licensed 358B open mixture-of-experts with strong 73.8% SWE-Bench Verified coding — but two generations behind GLM 5.2 — and its weights are open while Doubao Seed 2.0 Pro is API-only.
Lowest cost at scale
Doubao Seed 2.0 Pro
At $0.47/$2.37 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Doubao Seed 2.0 Pro
Its 256K window is about 1.3× larger than GLM 4.7's 200K, fitting roughly 384 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Doubao Seed 2.0 Pro
At $0.47/$2.37 per 1M tokens it undercuts GLM 4.7, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Doubao Seed 2.0 Pro
Larger 256K window fits more in one prompt.
A team with data-privacy or self-hosting needs
→ GLM 4.7
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 genuinely permissive open weights — an mit-licensed 358b mixture-of-experts with no commercial restrictions
→ GLM 4.7
That is its strongest area.
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.
GLM 4.7: where it fits
An MIT-licensed 358B open mixture-of-experts with strong 73.8% SWE-Bench Verified coding — but two generations behind GLM 5.2. Released December 22, 2025 by Z.ai, it is built for genuinely permissive open weights — an MIT-licensed 358B mixture-of-experts with no commercial restrictions, strong agentic coding for the price — 73.8% on SWE-Bench Verified undercut most closed frontier models at launch, an unusually generous 128K maximum output, which suits bulk refactors and long generation, and cheap long-running agent loops thanks to aggressive prompt caching.
Its trade-offs: two generations behind — GLM 5, 5.1 and 5.2 have all shipped since, and new builds should default to those, its Verified lead narrows sharply on harder evaluations like SWE-Bench Pro, and text-only with no vision, and self-hosting a 358B model is a serious hardware commitment. At $0.6 in / $2.2 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
The defining split here is open vs. closed. GLM 4.7 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 GLM 4.7 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 GLM 4.7 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 GLM 4.7 leans toward genuinely permissive open weights — an mit-licensed 358b mixture-of-experts with no commercial restrictions, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Doubao Seed 2.0 Pro or GLM 4.7?
GLM 4.7 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?
Doubao Seed 2.0 Pro — 256K vs 200K, about 1.3× 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 GLM 4.7 together?
Yes — a multi-model platform like LumiChats gives you Doubao Seed 2.0 Pro, GLM 4.7 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 GLM 4.7?
Doubao Seed 2.0 Pro — released February 14, 2026, about 54 days after GLM 4.7.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.