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qwen3-next-80b-a3b-instruct-maas

vertex_ai-qwen_models · chat model

qwen3-next-80b-a3b-instruct-maas is listed here as a chat model from vertex_ai-qwen_models. 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
262.1K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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
262.1K
Max input tokens
262.1K
Max output tokens
262.1K
Max tokens
262.1K

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
qwen3-next-80b-a3b-instruct-maas
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In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
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Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
qwen3-next-80b-a3b-thinking-maas
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In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
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Function callingTool choice
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Overall 60%
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In $0.1400 / 1M tokens
Out $1.4000 / 1M tokens
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Function callingTool choice
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In $0.1400 / 1M tokens
Out $1.4000 / 1M tokens
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Output: text
Function callingTool choice
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Partial I/O overlap
Overall 58%
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In $0.2900 / 1M tokens
Out $1.2000 / 1M tokens
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Output: text
Function callingTool choice
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Overall 56%
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In $0.2200 / 1M tokens
Out $0.9500 / 1M tokens
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Output: text
Function callingTool choice
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Partial I/O overlap
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In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
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Partial I/O overlap
Overall 52%
qwen3-next-80b-a3b-instruct
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In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
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Partial I/O overlap
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In $0.2000 / 1M tokens
Out $1.1000 / 1M tokens
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Output: text
Function callingTool choice
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Partial I/O overlap
Overall 47%
glm-4.5-air
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In $0.2000 / 1M tokens
Out $1.1000 / 1M tokens
Output: unknown
Function callingTool choice
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Partial I/O overlap
Overall 42%
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In $0.2500 / 1M tokens
Out $1.0000 / 1M tokens
Output: unknown
Function callingTool choice
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Overall 41%
qwen3-next-80b-a3b-thinking
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In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function callingTool choice
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Partial I/O overlap
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 37%
gpt-35-turbo
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In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 37%
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In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
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Output: text
Function callingTool choice
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Partial I/O overlap
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qwen3-coder-480b-a35b-instruct-maas
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In $1.0000 / 1M tokens
Out $4.0000 / 1M tokens
Output: unknown
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In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
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Function callingTool choice
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Partial I/O overlap
Overall 30%
gpt-5.4-nano-2026-03-17
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In $0.2000 / 1M tokens
Out $1.2500 / 1M tokens
imagepdf
Output: text
Function callingTool choice
128.0K
Partial I/O overlap
Overall 30%
gpt-35-turbo-16k-0613
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In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 29%
qwen.qwen3-next-80b-a3b
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In $0.1500 / 1M tokens
Out $1.2000 / 1M tokens
Output: unknown
Function calling
8.2K
Partial I/O overlap
Overall 29%
gpt-4
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In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 25%
gpt-4-0613
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In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
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Output: text
Function callingTool choice
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Partial I/O overlap
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