Beam 1.0 vs Seed 2.0 Mini

Q: Is Beam 1.0 cheaper than Seed 2.0 Mini?

Seed 2.0 Mini is 4.0x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Seed 2.0 Mini costs $0.10/M input and $0.40/M output via deepinfra.

Q: What are the context window sizes for Beam 1.0 and Seed 2.0 Mini?

Beam 1.0 supports 1.0M tokens and Seed 2.0 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Q: What are the main differences between Beam 1.0 and Seed 2.0 Mini?

Key differences include LLM Stats Score (44.6 vs 27.8), context window (1.0M vs 256K), input pricing ($0.40 vs $0.10/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Q: Who makes Beam 1.0 and Seed 2.0 Mini?

Beam 1.0 is developed by Reflection AI and Seed 2.0 Mini is developed by ByteDance.

Beam 1.0 leads the LLM Stats Score 44.6 to 27.8. Seed 2.0 Mini is 3.4x cheaper per token.

Reflection AI · ByteDance · Updated for 2026

Which is better?

Beam 1.0 leads the overall LLM Stats Score 44.6 to 27.8, ranking #46 overall.

In the 2 individual benchmarks reported for both models, Beam 1.0 wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Seed 2.0 Mini is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Beam 1.0 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Beam 1.0

overall performance matters — it scores 44.6 and ranks #46 on LLM Stats
your work emphasizes reasoning — it leads those capability indexes
you value its reported benchmark strengths — it wins 2 of 2 exact shared results
you process long inputs — it offers a 1,048,576 token context window
you want the most recent training data — it shipped Oct 2026
you need open weights you can self-host or fine-tune

Choose Seed 2.0 Mini

cost matters — it's about 3.4x cheaper per token

At a glance

The differences that matter most.

Better token value: Seed 2.0 Mini

Core performance indexes

LLM Stats Score

44.6

#46 · 22 evals

Best

27.8

#159 · 79 evals

Reasoning

45.5

#37 · 19 evals

Best

28.7

#148 · 59 evals

Coding

33.7

#39 · 9 evals

Best

1.5

#254 · 1 evals

Agents

28.8

#53 · 9 evals

Best

1.1

#195 · 1 evals

Cost, coverage & limits

Benchmark wins

2 of 2

Best

0 of 2

Input price

$0.40 / M

$0.10 / M

Best

Output price

$1.20 / M

$0.40 / M

Best

Context window

1,048,576

Best

256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared

Index

Beam 1.0

Seed 2.0 Mini

Math

35.1#45 · 5 evals

26.4#111 · 14 evals

Vision

15.9#105 · 2 evals

17.9#97 · 49 evals

Long context

29.5#5 · 2 evals

16.4#47 · 5 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

22 reported for Beam 1.0 · 83 for Seed 2.0 Mini

2 shared

Beam 1.0 outperforms in 2 benchmarks (AIME 2026, GPQA), while Seed 2.0 Mini is better at 0 benchmarks.

Beam 1.0 significantly outperforms across most benchmarks.

Fri Oct 23 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Seed 2.0 Mini costs less

For input processing, Beam 1.0 ($0.40/1M tokens) is 4.0x more expensive than Seed 2.0 Mini ($0.10/1M tokens).

For output processing, Beam 1.0 ($1.20/1M tokens) is 3.0x more expensive than Seed 2.0 Mini ($0.40/1M tokens).

In conclusion, Beam 1.0 is more expensive than Seed 2.0 Mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Fri Oct 23 2026 • llm-stats.com

Beam 1.0

Input tokens$0.40

Output tokens$1.20

Best providerTogether

Seed 2.0 Mini

Input tokens$0.10

Output tokens$0.40

Best providerDeepinfra

Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Beam 1.0 accepts 1,048,576 input tokens compared to Seed 2.0 Mini's 256,000 tokens. Seed 2.0 Mini can generate longer responses up to 256,000 tokens, while Beam 1.0 is limited to 131,072 tokens.

Beam 1.0

Input1,048,576 tokens

Output131,072 tokens

Seed 2.0 Mini

Input256,000 tokens

Output256,000 tokens

Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Seed 2.0 Mini supports multimodal inputs, whereas Beam 1.0 does not.

Seed 2.0 Mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

Beam 1.0

Text

Images

Audio

Video

Seed 2.0 Mini

Text

Images

Audio

Video

License

Usage and distribution terms

Beam 1.0 is licensed under Apache 2.0, while Seed 2.0 Mini uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Beam 1.0

Apache 2.0

Open weights

Seed 2.0 Mini

Proprietary

Closed source

Release Timeline

When each model was launched

Beam 1.0 was released on 2026-10-16, while Seed 2.0 Mini was released on 2026-02-17.

Beam 1.0 is 8 months newer than Seed 2.0 Mini.

Beam 1.0

Oct 16, 2026

6 days ago

8mo newer

Seed 2.0 Mini

Feb 17, 2026

8 months ago

Knowledge Cutoff

When training data ends

Beam 1.0 has a documented knowledge cutoff of 2026-06-30, while Seed 2.0 Mini's cutoff date is not specified.

We can confirm Beam 1.0's training data extends to 2026-06-30, but cannot make a direct comparison without Seed 2.0 Mini's cutoff date.

Beam 1.0

Jun 2026

Seed 2.0 Mini

—

Provider Availability

Beam 1.0 is available from Together, Reflection AI. Seed 2.0 Mini is available from DeepInfra.

Beam 1.0

Together

Input Price:Input: $0.40/1MOutput Price:Output: $1.20/1M

Unknown Organization

Seed 2.0 Mini

Deepinfra

Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Beam 1.0 and Seed 2.0 Mini side-by-side, then vote on the output you prefer.

Beam 1.0

✓ Preferred

Seed 2.0 Mini

Open in Playground

FAQ

Common questions about Beam 1.0 vs Seed 2.0 Mini.

Which is better, Beam 1.0 or Seed 2.0 Mini?

Beam 1.0 leads the LLM Stats Score 44.6 to 27.8. Beam 1.0 is made by Reflection AI and Seed 2.0 Mini is made by ByteDance. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Beam 1.0 compare to Seed 2.0 Mini in benchmarks?

Beam 1.0 scores AIME 2026: 97.7%, GPQA: 90.6%, LiveCodeBench: 88.3%, SWE-Bench Verified: 81.6%, MCP Atlas: 80.8%. Seed 2.0 Mini scores CountBench: 95.5%, VLMsAreBlind: 93.1%, Graphwalks parents <128k: 93.0%, CharXiv-D: 91.9%, LongFact Concepts: 91.4%.

Is Beam 1.0 cheaper than Seed 2.0 Mini?

Seed 2.0 Mini is 4.0x cheaper for input tokens. Beam 1.0 costs $0.40/M input and $1.20/M output via together. Seed 2.0 Mini costs $0.10/M input and $0.40/M output via deepinfra.

What are the context window sizes for Beam 1.0 and Seed 2.0 Mini?

Beam 1.0 supports 1.0M tokens and Seed 2.0 Mini supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Beam 1.0 and Seed 2.0 Mini?

Key differences include LLM Stats Score (44.6 vs 27.8), context window (1.0M vs 256K), input pricing ($0.40 vs $0.10/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Beam 1.0 and Seed 2.0 Mini?

Beam 1.0 is developed by Reflection AI and Seed 2.0 Mini is developed by ByteDance.

Beam 1.0 vs Seed 2.0 Mini