Qwen3 Reranker 8B vs Claude Sonnet 4.5
At a Glance
| Compare | Claude Sonnet 4.5Anthropic | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #36 of 4627.7 score · 2/3 sources · provisional · missing LiveBench · full-core range 18.5–51.8 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $3.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $15.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 33K | 200K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | Qwen3 Reranker 8B | Claude Sonnet 4.5 |
|---|---|---|
| Developer | Qwen | Anthropic |
| Family | Qwen3 Reranker | Claude 4 |
| Model | Qwen3 Reranker 8B | Claude Sonnet 4.5 |
| Version | Qwen3 Reranker 8B | Claude Sonnet 4.5 |
| Lifecycle | active | active |
| Released | 2025-05-29 | 2025-09-29 |
| Knowledge cutoff | Unknown | 2025-01-01 |
| Input modalities | Text | Text, Image |
| Output modalities | Unknown | Text |
| Context window | 33K | 200K |
| Total parameters | 8B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Fireworks Ai (Standard) | Anthropic (Standard) |
| Capabilities | multilingual, reranking, retrieval | chat, generation, reasoning, structured_outputs, tools |
Qwen3 Reranker 8B Capabilities
Claude Sonnet 4.5 Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3 Reranker 8B vs Claude Sonnet 4.5 FAQs
Is Qwen3 Reranker 8B or Claude Sonnet 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Reranker 8B and Claude Sonnet 4.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3 Reranker 8B or Claude Sonnet 4.5?+
Only Claude Sonnet 4.5 has a directly sourced input price: $3.00 per million tokens. Only Claude Sonnet 4.5 has a directly sourced output price: $15.00 per million tokens.
Which has a larger context window, Qwen3 Reranker 8B or Claude Sonnet 4.5?+
Claude Sonnet 4.5 has the larger sourced context window. Qwen3 Reranker 8B supports 33K and Claude Sonnet 4.5 supports 200K.
Which performs better in benchmarks, Qwen3 Reranker 8B or Claude Sonnet 4.5?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3 Reranker 8B or Claude Sonnet 4.5 be self-hosted?+
Qwen3 Reranker 8B is the only model in this pair currently marked as self-hostable. Qwen3 Reranker 8B is open weight; Claude Sonnet 4.5 is not marked open weight.
Can Qwen3 Reranker 8B and Claude Sonnet 4.5 understand images?+
Qwen3 Reranker 8B is not documented with image input; Claude Sonnet 4.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3 Reranker 8B or Claude Sonnet 4.5?+
Neither has a larger sourced maximum output. Qwen3 Reranker 8B is — and Claude Sonnet 4.5 is 64K.
Do Qwen3 Reranker 8B and Claude Sonnet 4.5 support reasoning and tool use?+
Qwen3 Reranker 8B: none of these features are definitively sourced. Claude Sonnet 4.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3 Reranker 8B or Claude Sonnet 4.5?+
Qwen3 Reranker 8B has 1 sourced provider route; Claude Sonnet 4.5 has 1, a tie.
Which offers better value, Qwen3 Reranker 8B or Claude Sonnet 4.5?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.