Qwen3 235B A22B
Qwen3 235B A22B is Alibaba's language model with a 262K context window and up to 236K output tokens, available from 8 providers, starting at $0.0875 / 1M input and $0.35 / 1M output. A large-scale Mixture-of-Experts LLM with 235B total parameters and 22B active parameters, designed for high-capability reasoning and instruction following.
| Benchmarks | |
|---|---|
| Intelligence Index | #214 |
| Coding Index | #138 |
| Math Index | #26 |
| MMLU-Pro | #41 |
| GPQA | #158 |
| HLE | #139 |
| LiveCodeBench | #37 |
| AIME | #3 |
| IFBench | #174 |
| Time to First Token | #493 |
| SciCode | #100 |
| MATH-500 | #13 |
| AIME 2025 | #26 |
| LCR | #80 |
| TerminalBench Hard | #193 |
| TAU2 | #182 |
| Output TPS | #166 |
Capabilities
Input1/5
Text✓
Image·
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities5/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling✓
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching·
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | Flex | Fast | Batch | |||||
|---|---|---|---|---|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Cache Read $ / 1M | Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | |
| $0.7 | $2.80 | N/A | — | — | — | — | $0.35 | $1.40 | |
| $0.22 | $0.88 | N/A | $0.11 | $0.44 | $0.385 | $1.54 | $0.11 | $0.44 | |
| $0.18 | $0.54 | N/A | — | — | — | — | — | — | |
| $0.22 | $0.88 | N/A | — | — | — | — | — | — | |
| N/A | $0.8 | N/A | — | — | — | — | — | — | |
| $0.2 | $0.6 | N/A | — | — | — | — | — | — | |
| $2.00 | $2.00 | N/A | — | — | — | — | — | — | |
| $0.2 | $0.8 | N/A | — | — | — | — | — | — | |
| $0.455 | $1.82 | N/A | — | — | — | — | — | — | |
| $0.0875 | $0.35 | $0.0175 | — | — | — | — | — | — | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host Qwen3 235B A22B, ranked by cheapest on-demand price. The model needs about 564 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| p4de.24xlarge |  AWS | 8× A100 | 640 GB | $27.45/hr | ||
| Standard_ND96amsr_A100_v4 |  Azure | 8× NVIDIA A100 (80GB) | 640 GB | $32.77/hr | ||
| g7e.48xlarge | AWS | 8× RTX PRO Server 6000 | 768 GB | $33.14/hr | ||
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| MiroThinker 1.7 | — | — | — | — | Available |
| Qwen3 30B A3B Thinking | 262K | $0.200 | $0.900 | Available | |
| Qwen3 Coder 30B A3B Instruct | 262K | $0.070 | $0.270 | Available | |
| Qwen3 30B A3B Instruct | 262K | $0.048 | $0.193 | Available | |
| Qwen3 235B A22B Thinking | 262K | $0.220 | $0.880 | Deprecated | |
| Qwen3 Coder | 262K | $0.300 | $1.00 | Deprecated | |
| Qwen3 235B A22B | 262K | $0.087 | $0.350 | Current | |
| Qwen3 30B A3B | 131K | $0.051 | $0.200 | Deprecated | |
| Qwen3 235B A22B Instruct | — | 262K | $0.090 | $0.550 | Available |
| Qwen3 Coder 480B A35B Instruct | — | 262K | $0.220 | $1.50 | Available |
| KwaiPilot KAT Coder | — | 262K | $0.900 | $0.900 | Available |