Qwen3 Reranker 8B vs Claude Haiku 4.5
At a Glance
| Compare | Claude Haiku 4.5Anthropic | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $5.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 33K | 200K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 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 Haiku 4.5 |
|---|---|---|
| Developer | Qwen | Anthropic |
| Family | Qwen3 Reranker | Claude 4 5 |
| Model | Qwen3 Reranker 8B | Claude Haiku 4.5 |
| Version | Qwen3 Reranker 8B | Claude Haiku 4.5 |
| Lifecycle | active | active |
| Released | 2025-05-29 | 2025-10-15 |
| Knowledge cutoff | Unknown | Unknown |
| 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), Deepinfra (Standard) |
| Capabilities | multilingual, reranking, retrieval | chat, generation, reasoning, tools |
Qwen3 Reranker 8B Capabilities
Claude Haiku 4.5 Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3 Reranker 8B vs Claude Haiku 4.5 FAQs
Is Qwen3 Reranker 8B or Claude Haiku 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Reranker 8B and Claude Haiku 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 Haiku 4.5?+
Only Claude Haiku 4.5 has a directly sourced input price: $1.00 per million tokens. Only Claude Haiku 4.5 has a directly sourced output price: $5.00 per million tokens.
Which has a larger context window, Qwen3 Reranker 8B or Claude Haiku 4.5?+
Claude Haiku 4.5 has the larger sourced context window. Qwen3 Reranker 8B supports 33K and Claude Haiku 4.5 supports 200K.
Which performs better in benchmarks, Qwen3 Reranker 8B or Claude Haiku 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 Haiku 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 Haiku 4.5 is not marked open weight.
Can Qwen3 Reranker 8B and Claude Haiku 4.5 understand images?+
Qwen3 Reranker 8B is not documented with image input; Claude Haiku 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 Haiku 4.5?+
Neither has a larger sourced maximum output. Qwen3 Reranker 8B is — and Claude Haiku 4.5 is 64K.
Do Qwen3 Reranker 8B and Claude Haiku 4.5 support reasoning and tool use?+
Qwen3 Reranker 8B: none of these features are definitively sourced. Claude Haiku 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 Haiku 4.5?+
Qwen3 Reranker 8B has 1 sourced provider route; Claude Haiku 4.5 has 2, so Claude Haiku 4.5 has broader tracked availability.
Which offers better value, Qwen3 Reranker 8B or Claude Haiku 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.