AI model comparison
Qwen3.5-122B-A10B vs Claude Haiku 4.5
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency.
- Input / 1M
- $0.26
- Output / 1M
- $2.08
- Context
- 262K
Anthropic
Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models.
- Input / 1M
- $1
- Output / 1M
- $5
- Context
- 200K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.5-122B-A10B
2.9x cheaper for a typical chat
Higher intelligence score
Qwen3.5-122B-A10B
17.7 vs 16.9 on Artificial Analysis
Larger context window
Qwen3.5-122B-A10B
262K vs 200K tokens
Newer release
Qwen3.5-122B-A10B
Released February 25, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.5-122B-A10B17.7Claude Haiku 4.516.9Coding index
Qwen3.5-122B-A10B43.3Claude Haiku 4.543.9Agentic index
Qwen3.5-122B-A10BNot availableClaude Haiku 4.58Pricing
Qwen3.5-122B-A10B vs Claude Haiku 4.5 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5-122B-A10B | Claude Haiku 4.5 |
|---|---|---|
| Input tokensPer 1M tokens | $0.26 | $1 |
| Output tokensPer 1M tokens | $2.08 | $5 |
| Cached input (read)Per 1M tokens | Not available | $0.10 |
| Cache writePer 1M tokens | Not available | $1.25 |
| Web searchPer request | Not available | $0.01 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.5-122B-A10B$1.56Claude Haiku 4.5$4.50Coding task
30K in, 4K out
Qwen3.5-122B-A10B$16.12Claude Haiku 4.5$50$23 cachedLong document summary
150K in, 2K out
Qwen3.5-122B-A10B$43.16Claude Haiku 4.5$160$25 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.5-122B-A10B | Claude Haiku 4.5 |
|---|---|---|
| Context window | 262K tokens | 200K tokens |
| Max output | 66K tokens | 64K tokens |
| Input types | Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | February 25, 2026 | October 15, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5-122B-A10B | Claude Haiku 4.5 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.5-122B-A10BView full model details- Qwen3.5-122B-A10B vs Qwen3.5 397B A17B
- Qwen3.5-122B-A10B vs Qwen3.6 27B
- Qwen3.5-122B-A10B vs GPT-5 Mini
- Qwen3.5-122B-A10B vs Qwen3.5-35B-A3B
- Qwen3.5-122B-A10B vs GLM 4.6
- Qwen3.5-122B-A10B vs Qwen3.6 35B A3B
- Qwen3.5-122B-A10B vs Muse Glimmer 30B
- Qwen3.5-122B-A10B vs Gemini 3.1 Flash Lite
- Qwen3.5-122B-A10B vs Gemini 2.5 Flash
- Qwen3.5-122B-A10B vs Kimi K2 0905
Claude Haiku 4.5View full model details- Claude Haiku 4.5 vs Gemini 3.1 Flash Lite
- Claude Haiku 4.5 vs Gemini 2.5 Flash
- Claude Haiku 4.5 vs Claude Sonnet 4.5
- Claude Haiku 4.5 vs Gemini 2.5 Pro
- Claude Haiku 4.5 vs GLM 4.6
- Claude Haiku 4.5 vs o3
- Claude Haiku 4.5 vs Claude Sonnet 4
- Claude Haiku 4.5 vs o4 Mini
- Claude Haiku 4.5 vs Kimi K2 0905
- Claude Haiku 4.5 vs o1
- Claude Haiku 4.5 vs Mistral Medium 3.5
- Claude Haiku 4.5 vs Command A
- Claude Haiku 4.5 vs o3 Mini
- Claude Haiku 4.5 vs Sonar Reasoning Pro
Our take
Qwen3.5-122B-A10B is 2.9x cheaper for a typical chat. Qwen3.5-122B-A10B scores higher on the Artificial Analysis Intelligence Index (17.7 vs 16.9). Qwen3.5-122B-A10B has the larger context window (262K vs 200K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.5-122B-A10B or Claude Haiku 4.5 cheaper?
Qwen3.5-122B-A10B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.5-122B-A10B costs $0.26 per 1M input tokens and $2.08 per 1M output tokens, while Claude Haiku 4.5 costs $1 per 1M input tokens and $5 per 1M output tokens.
Which has a bigger context window, Qwen3.5-122B-A10B or Claude Haiku 4.5?
Qwen3.5-122B-A10B supports up to 262K tokens of context, compared with 200K for Claude Haiku 4.5.
Is Qwen3.5-122B-A10B smarter than Claude Haiku 4.5?
On the Artificial Analysis Intelligence Index, Qwen3.5-122B-A10B scores 17.7 and Claude Haiku 4.5 scores 16.9, putting Qwen3.5-122B-A10B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.5-122B-A10B and Claude Haiku 4.5 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.5-122B-A10B and Claude Haiku 4.5 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.5-122B-A10B and Claude Haiku 4.5 at the same time. Compare the answers side by side and keep the best one.