qwen.qwen3-next-80b-a3b
bedrock_converse · chat model
qwen.qwen3-next-80b-a3b is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1500 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
8.2K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.1500 / 1M tokens |
| Output | $1.2000 / 1M tokens |
| Embedding | $0.1500 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
128.0K
Max output tokens
8.2K
Max tokens
8.2K
Capabilities
| Capability | Supported |
|---|---|
| Vision | — |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | — |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | ✅ |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| MMLU-Pro | 80.6 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| MMLU-Redux | 90.9 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| GPQA | 72.9 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| SuperGPQA | 58.8 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| AIME 2025 | 69.5 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| HMMT25 | 54.1 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| LiveBench 20241125 | 75.8 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| LiveCodeBench v6 | 56.6 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| MultiPL-E | 87.8 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| Aider Polyglot | 49.8 | score | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
| RULER 1M | 91.8 | Acc avg | Base model: Qwen3-Next (Qwen3-Next-80B-A3B-Instruct) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| qwen.qwen3-next-80b-a3b bedrock_converse | In $0.1500 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function callingSystem messages | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
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Output: text | Function callingSystem messages | 8.2K | Same provider Overall 49% |
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Output: text | Function callingSystem messages | 8.2K | Partial I/O overlap Overall 47% |
| minimax.minimax-m2.5 Bedrock | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingSystem messages | 8.2K | Partial I/O overlap Overall 47% |
| minimax.minimax-m2.1 bedrock_converse | In $0.3000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Function callingSystem messages | 8.2K | Same provider Overall 47% |
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Output: text | Function callingSystem messages | 8.2K | Same provider Overall 47% |
| GigaChat-2-Lite gigachat | In N/A Out N/A |
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| qwen3-235b-a22b-instruct-2507 replicate | In $0.2640 / 1M tokens Out $1.0600 / 1M tokens | text
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Output: text | Function callingSystem messages | N/A | Partial I/O overlap Overall 34% |
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Output: unknown | Function calling | 65.5K | Partial I/O overlap Overall 30% |
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| qwen3-next-80b-a3b-thinking dashscope | In $0.1500 / 1M tokens Out $1.2000 / 1M tokens |
Output: unknown | Function calling | 65.5K | Partial I/O overlap Overall 28% |
| gpt-5.4-nano azure_ai | In $0.2000 / 1M tokens Out $1.2500 / 1M tokens | imagepdf
Output: text | Function callingSystem messages | 128.0K | Partial I/O overlap Overall 23% |
| gpt-5.4-nano-2026-03-17 azure_ai | In $0.2000 / 1M tokens Out $1.2500 / 1M tokens | imagepdf
Output: text | Function callingSystem messages | 128.0K | Partial I/O overlap Overall 23% |
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