Qwen/Qwen3-8B

Qwen3-8B is a dense 8.2 billion parameter causal language model from the Qwen3 series that bridges the gap between rigorous logical reasoning and everyday conversation. What sets it apart is a dual-mode design: a "thinking" mode dedicated to math, coding, and multi-step logical inference, and a "non-thinking" mode for fluid, general dialogue. This flexibility lets developers and applications switch between deep analytical work and conversational tasks without swapping models. The architecture supports instruction-following, agent integration, and creative writing, and it was built to handle multilingual use across more than 100 languages and dialects.

The model builds on the Qwen3 series lineage with fine-tuning that emphasizes instruction adherence and tool-use readiness. Its native context window starts at 32K tokens and can be extended further using YaRN scaling, making it suitable for longer documents and extended conversations. With a knowledge cutoff in early 2025, it captures recent information for tasks requiring up-to-date reasoning. The dense 8.2B parameter scale keeps it efficient enough for deployment scenarios where larger models would be costly, while still delivering strong performance on both reasoning-heavy benchmarks and open-ended generation tasks.

SiliconFlow (China)Qwen/Qwen3-8Bqwen

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Quick Info

Provider: SiliconFlow (China)
Model key: Qwen/Qwen3-8B
Release date: Apr 30, 2025
Last updated: Nov 25, 2025
Input modalities
Output modalities
Capabilities

Cost

Input token cost: $0.06
Output token cost: $0.06

Limits

Output tokens: 131,000 tokens
Context window: 131,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen/Qwen3-8B

SiliconFlow (China)

CoverageBenchmark

Reproducible benchmark results for Qwen/Qwen3-8B were evaluated across 13 tasks on a 16.4 GB safetensors checkpoint, providing independent verification of the model's capabilities. The strongest showing was GSM8K at 84.9% exact match (rank 10 of 28), followed by IFEval at 81.7% prompt-level strict accuracy and MMLU at 73.0%. These measurements give developers third-party validation of Qwen3-8B's math, instruction-following, and general knowledge performance. Additional reproducible scores include MBPP at 65.6% pass@1, MMLU-Pro at 57.7%, MGSM at 47.9%, and EQ-Bench at 75.8, while GPQA Diamond reached 27.8% and the MBPP (Instruct) variant scored 0.0%. The model ranked in the top three on none of the 13 benchmarks evaluated, with its weakest results on instruction-formatted MBPP, giving a clear picture of where Qwen3-8B excels versus where it struggles in real coding workloads.

SiliconFlow (China)

CoverageBenchmark

Qwen3-8B is an 8B-parameter dense reasoning model from Alibaba, released on April 28, 2025, and distributed under the Apache 2.0 license with open weights. The cataloged specifications include a 128K-token context window and a 126K-token maximum output, supporting text input and output with reasoning and multilingual capabilities. This third-party catalog independently records the model as deprecated with a scheduled retirement date of October 10, 2026, which is timely signal for users of the SiliconFlow-hosted checkpoint. The same source documents Qwen3-8B benchmark performance across academic, coding, and reasoning categories. Notable recorded scores include AIME 2024 at 79.4, GPQA Diamond at 62.0, MATH-500 at 97.4 under thinking mode, and MMLU-Pro at 72.5. These figures establish the model's relative standing among 8B-class reasoning models and reinforce the case for migration before the listed October 2026 retirement window.

SiliconFlow (China)

CoverageBenchmark

Qwen3 8B pricing: $0.05/M input, $0.20/M output. See benchmarks, capabilities, and find the cheapest provider.