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Qwen3-235B-A22B-Instruct-2507 vs Seed 2.0 Mini

Qwen3-235B-A22B-Instruct-2507 and Seed 2.0 Mini are closely matched at 24.3 and 27.9 on the LLM Stats Score. Seed 2.0 Mini is 1.2x cheaper per token.

Alibaba Cloud / Qwen Team · ByteDance · Updated for 2026

Which is better?

Qwen3-235B-A22B-Instruct-2507 and Seed 2.0 Mini are closely matched on the overall LLM Stats Score at 24.3 and 27.9.

In the 6 individual benchmarks reported for both models, Seed 2.0 Mini wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Seed 2.0 Mini is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-235B-A22B-Instruct-2507 also accepts a larger context window (262,144 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 Qwen3-235B-A22B-Instruct-2507

  • you process long inputs — it offers a 262,144 token context window
  • you need open weights you can self-host or fine-tune

Choose Seed 2.0 Mini

  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 6 exact shared results
  • cost matters — it's about 1.2x cheaper per token
  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Seed 2.0 Mini
ByteDance
Core performance indexes
LLM Stats Score
24.3
#164
27.9
#135
Reasoning
24.0
#159
28.8
#123
Coding
4.2
#210
1.5
#229
Agents
10.0
#117
1.3
#167
Cost, coverage & limits
Benchmark wins
2 of 6
4 of 6
Input price
$0.09 / M
$0.10 / M
Output price
$0.55 / M
$0.40 / M
Context window
262,144
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Qwen3-235B-A22B-Instruct-2507
Seed 2.0 Mini
Math
23.9#121
26.7#100
Vision
9.1#131
18.0#79
Finance
28.3#34
26.3#48
Legal
28.0#26
26.3#38
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

25 reported for Qwen3-235B-A22B-Instruct-2507 · 83 for Seed 2.0 Mini

6 shared

Qwen3-235B-A22B-Instruct-2507 outperforms in 2 benchmarks (ARC-AGI, SuperGPQA), while Seed 2.0 Mini is better at 4 benchmarks (AIME 2025, GPQA, LiveCodeBench v6, MMLU-Pro).

Seed 2.0 Mini shows notably better performance in the majority of benchmarks.

Wed Sep 09 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, Qwen3-235B-A22B-Instruct-2507 ($0.09/1M tokens) is 1.1x cheaper than Seed 2.0 Mini ($0.10/1M tokens).

For output processing, Qwen3-235B-A22B-Instruct-2507 ($0.55/1M tokens) is 1.4x more expensive than Seed 2.0 Mini ($0.40/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Seed 2.0 Mini.*

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

Lowest available price from all providers
Wed Sep 09 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.09
Output tokens$0.55
Best providerDeepinfra
ByteDance
Seed 2.0 Mini
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Seed 2.0 Mini's 256,000 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 262,144 tokens, while Seed 2.0 Mini is limited to 256,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output262,144 tokens
ByteDance
Seed 2.0 Mini
Input256,000 tokens
Output256,000 tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Seed 2.0 Mini supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

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

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

Seed 2.0 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3-235B-A22B-Instruct-2507 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.

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Seed 2.0 Mini

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22, while Seed 2.0 Mini was released on 2026-02-17.

Seed 2.0 Mini is 7 months newer than Qwen3-235B-A22B-Instruct-2507.

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.1 years ago

Seed 2.0 Mini

Feb 17, 2026

6 months ago

7mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen3-235B-A22B-Instruct-2507 is available from DeepInfra, Fireworks, Novita. Seed 2.0 Mini is available from DeepInfra.

Qwen3-235B-A22B-Instruct-2507

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $0.55/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M

Seed 2.0 Mini

deepinfra logo
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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Qwen3-235B-A22B-Instruct-2507 and Seed 2.0 Mini side-by-side, then vote on the output you prefer.

Qwen3-235B-A22B-Instruct-2507
✓ Preferred
Seed 2.0 Mini
Open in Playground

FAQ

Common questions about Qwen3-235B-A22B-Instruct-2507 vs Seed 2.0 Mini.

Which is better, Qwen3-235B-A22B-Instruct-2507 or Seed 2.0 Mini?

Qwen3-235B-A22B-Instruct-2507 and Seed 2.0 Mini are closely matched on the LLM Stats Score at 24.3 and 27.9. Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team 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 Qwen3-235B-A22B-Instruct-2507 compare to Seed 2.0 Mini in benchmarks?

Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%. 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 Qwen3-235B-A22B-Instruct-2507 cheaper than Seed 2.0 Mini?

Qwen3-235B-A22B-Instruct-2507 is 1.1x cheaper for input tokens. Qwen3-235B-A22B-Instruct-2507 costs $0.09/M input and $0.55/M output via deepinfra. Seed 2.0 Mini costs $0.10/M input and $0.40/M output via deepinfra.

What are the context window sizes for Qwen3-235B-A22B-Instruct-2507 and Seed 2.0 Mini?

Qwen3-235B-A22B-Instruct-2507 supports 262K 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 Qwen3-235B-A22B-Instruct-2507 and Seed 2.0 Mini?

Key differences include LLM Stats Score (24.3 vs 27.9), context window (262K vs 256K), input pricing ($0.09 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 Qwen3-235B-A22B-Instruct-2507 and Seed 2.0 Mini?

Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team and Seed 2.0 Mini is developed by ByteDance.

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