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Qwen2.5 7B Instruct vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.1 to 2.6. Qwen2.5 7B Instruct is 1.0x cheaper per token.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3-235B-A22B-Instruct-2507 leads the overall LLM Stats Score 24.1 to 2.6, ranking #160 overall.

In the 5 individual benchmarks reported for both models, Qwen3-235B-A22B-Instruct-2507 wins 5; this is a narrower head-to-head signal than the composite indexes.

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 Qwen2.5 7B Instruct

  • you want predictable pricing at $0.30/M input and $0.30/M output

Choose Qwen3-235B-A22B-Instruct-2507

  • overall performance matters — it scores 24.1 and ranks #160 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Jul 2025

At a glance

The differences that matter most.

Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
2.6
#302
24.1
#160
Reasoning
2.8
#294
23.7
#155
Coding
3.2
#211
4.4
#205
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
$0.30 / M
$0.15 / M
Output price
$0.30 / M
$0.80 / M
Context window
131,072
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Qwen2.5 7B Instruct
Qwen3-235B-A22B-Instruct-2507
Math
8.5#252
24.1#118
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for Qwen2.5 7B Instruct · 25 for Qwen3-235B-A22B-Instruct-2507

5 shared

Qwen2.5 7B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 5 benchmarks (GPQA, IFEval, MMLU-Pro, MMLU-Redux, MultiPL-E).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen2.5 7B Instruct costs less

For input processing, Qwen2.5 7B Instruct ($0.30/1M tokens) is 2.0x more expensive than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, Qwen2.5 7B Instruct ($0.30/1M tokens) is 2.7x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Qwen2.5 7B Instruct.*

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

Lowest available price from all providers
Tue Sep 08 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

227.4B diff

Qwen3-235B-A22B-Instruct-2507 has 227.4B more parameters than Qwen2.5 7B Instruct, making it 2988.0% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
7.6B
Qwen2.5 7B Instruct
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Qwen2.5 7B Instruct's 131,072 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Tue Sep 08 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 7B Instruct was released on 2024-09-19, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 10 months newer than Qwen2.5 7B Instruct.

Qwen2.5 7B Instruct

Sep 19, 2024

2.0 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.1 years ago

10mo 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

Qwen2.5 7B Instruct is available from Together. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M

Qwen3-235B-A22B-Instruct-2507

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
* 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 Qwen2.5 7B Instruct and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Qwen2.5 7B Instruct
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about Qwen2.5 7B Instruct vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Qwen2.5 7B Instruct or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.1 to 2.6. Qwen2.5 7B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen2.5 7B Instruct compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%. 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%.

Is Qwen2.5 7B Instruct cheaper than Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 is 2.0x cheaper for input tokens. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.

What are the context window sizes for Qwen2.5 7B Instruct and Qwen3-235B-A22B-Instruct-2507?

Qwen2.5 7B Instruct supports 131K tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2.5 7B Instruct and Qwen3-235B-A22B-Instruct-2507?

Key differences include LLM Stats Score (2.6 vs 24.1), context window (131K vs 262K), input pricing ($0.30 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.

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