bytedance-seed
ByteDance Seed: Seed-2.0-Mini
bytedance-seed/seed-2.0-mini
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
bytedance-seed/seed-2.0-mini is a multimodal text-generation model listed in the OpenRouter catalog under the ByteDance Seed author. According to that catalog, it accepts text, image, and video inputs and returns text, exposes tool calling and structured-output parameters, and offers configurable reasoning effort levels. The catalog description positions it for latency-sensitive, high-concurrency, cost-sensitive workloads with a large context window. Benchmark fields were empty and no independent model card was included in this source pack, so performance claims remain unverified.[1]
Strengths
- The OpenRouter catalog reports multimodal understanding: text, image, and video inputs producing text output.[1]
- Configurable reasoning effort across several levels, with medium as the catalog default, plus tool calling and structured-output support per the catalog's parameter list.[1]
- The catalog description positions it for latency-sensitive, high-concurrency, and cost-sensitive deployments, and lists a 262,144-token context window.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; no independent model card was available in this source pack, so described capabilities have not been independently verified.[1]
- The catalog's benchmark fields were empty, so the supplied evidence contains no measured performance data; validate on your own workloads.[1]
- The claim of performance comparable to ByteDance-Seed-1.6 comes only from the catalog description and lacks supplied measurements; knowledge cutoff and license terms are not stated.[1]
Where to use it
- Could suit latency-sensitive, high-concurrency chat or assistant workloads, matching the catalog's positioning; confirm with real workload tests.[1]
- A candidate for multimodal applications that take image or video input and produce text, subject to validation.[1]
- May fit integrations needing adjustable reasoning effort, tool calling, or structured outputs, pending evaluation on your tasks.[1]
Sources
- [1] OpenRouter catalog · ByteDance Seed: Seed-2.0-MiniSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...
Specifications
- Model ID
- bytedance-seed/seed-2.0-mini
- Canonical ID
- bytedance-seed/seed-2.0-mini-20260224
- Creator
- bytedance-seed
- Added to OpenRouter
- 26.02.2026
- Context length
- 262,144
- Modality
- text+image+video->text
- Input modalities
- text, image, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.100 / out $0.400
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · default medium · efforts: high, medium, low, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default medium · efforts: high, medium, low, minimal, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | input: video |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Seedfp8 | 262,144 | $0.100 | $0.400 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.