| Signal | Qwen3 235B A22B | Delta | Qwen3 235B A22B Instruct 2507 |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 64 | -- | |
Pricing | 98 | -2 | |
Context window size | 81 | -5 | |
Recency | 70 | -15 | |
Output Capacity | 65 | +45 | |
| Overall Result | 1 wins | of 6 | 3 wins |
Score History
65.3
current score
Qwen3 235B A22B Instruct 2507
right now
65.5
current score
Alibaba
Alibaba
Qwen3 235B A22B Instruct 2507 saves you $124.40/month
That's $1492.80/year compared to Qwen3 235B A22B at your current usage level of 100K calls/month.
| Metric | Qwen3 235B A22B | Qwen3 235B A22B Instruct 2507 | Winner |
|---|---|---|---|
| Overall Score | 65 | 66 | Qwen3 235B A22B Instruct 2507 |
| Rank | #115 | #113 | Qwen3 235B A22B Instruct 2507 |
| Quality Rank | #115 | #113 | Qwen3 235B A22B Instruct 2507 |
| Adoption Rank | #115 | #113 | Qwen3 235B A22B Instruct 2507 |
| Parameters | 235B | 235B | -- |
| Context Window | 131K | 262K | Qwen3 235B A22B Instruct 2507 |
| Pricing | $0.45/$1.82/M | $0.07/$0.10/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Qwen3 235B A22B |
| Benchmarks | 64 | 64 | Qwen3 235B A22B |
| Pricing | 98 | 100 | Qwen3 235B A22B Instruct 2507 |
| Context window size | 81 | 86 | Qwen3 235B A22B Instruct 2507 |
| Recency | 70 | 85 | Qwen3 235B A22B Instruct 2507 |
| Output Capacity | 65 | 20 | Qwen3 235B A22B |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 65/100 (rank #115), placing it in the top 61% of all 290 models tracked.
Scores 66/100 (rank #113), placing it in the top 61% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Qwen3 235B A22B Instruct 2507 offers 92% better value per quality point. At 1M tokens/day, you'd spend $2.56/month with Qwen3 235B A22B Instruct 2507 vs $34.13/month with Qwen3 235B A22B - a $31.56 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Qwen3 235B A22B Instruct 2507 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.10/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (66/100) correlates with better nuance, coherence, and style in long-form content
Qwen3 235B A22B and Qwen3 235B A22B Instruct 2507 are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Qwen3 235B A22B
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 235B A22B Instruct 2507
92% lower pricing; better value at scale
Best for Reliability
Qwen3 235B A22B
Higher uptime and faster response speeds
Best for Prototyping
Qwen3 235B A22B
Stronger community support and better developer experience
Best for Production
Qwen3 235B A22B
Wider enterprise adoption and proven at scale
by Alibaba
by Alibaba
| Capability | Qwen3 235B A22B | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Alibaba
Alibaba
Qwen3 235B A22B Instruct 2507 saves you $2.76/month
That's 92% cheaper than Qwen3 235B A22B at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Qwen3 235B A22B | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Context Window | 131K | 262K |
| Max Output Tokens | 8,192 | -- |
| Open Source | Yes | Yes |
| Created | Apr 28, 2025 | Jul 21, 2025 |
Qwen3 235B A22B Instruct 2507 scores 66/100 (rank #113) compared to Qwen3 235B A22B's 65/100 (rank #115), giving it a 0-point advantage. Qwen3 235B A22B Instruct 2507 is the stronger overall choice, though Qwen3 235B A22B may excel in specific areas like certain benchmarks.
Qwen3 235B A22B is ranked #115 and Qwen3 235B A22B Instruct 2507 is ranked #113 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Qwen3 235B A22B Instruct 2507 is cheaper at $0.10/M output tokens vs Qwen3 235B A22B's $1.82/M output tokens - 18.2x more expensive. Input token pricing: Qwen3 235B A22B at $0.45/M vs Qwen3 235B A22B Instruct 2507 at $0.07/M.
Qwen3 235B A22B Instruct 2507 has a larger context window of 262,144 tokens compared to Qwen3 235B A22B's 131,072 tokens. A larger context window means the model can process longer documents and conversations.