Model comparison
Claude Haiku 4.5 vs Qwen 3.8 27B
Anthropic against Qwen, compared on context, price, and verified benchmark results.
Catalog record checked September 26, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
Anthropic
Claude Haiku 4.5
Budget
Qwen
Qwen 3.8 27B
Budget · Open weights
| Specification | Claude Haiku 4.5 | Qwen 3.8 27B |
|---|---|---|
| Provider | ||
| Provider | Anthropic | Qwen |
| Tier | ||
| Tier | Budget | Budget |
| Context window | ||
| Context window | 200K | Winner: 262K |
| Max output | ||
| Max output | 64K | Not verifiedUnverified |
| Input / 1M tokens | ||
| Input / 1M tokens | $1 | Winner: $0.50 |
| Output / 1M tokens | ||
| Output / 1M tokens | $5 | Winner: $3 |
| Weights | ||
| Weights | Closed | Open |
| Parameters | ||
| Parameters | Not disclosedUnverified | 27B dense VLM (Gated DeltaNet hybrid) |
| Reasoning levels | ||
| Reasoning levels | extended thinking (budget_tokens) | low, medium, xhigh |
| Modalities | ||
| Modalities | text, image | text, image, video |
| License | ||
| License | Not disclosedUnverified | Apache 2.0 |
| API model id | ||
| API model id | claude-haiku-4-5-20251001 | qwen3.8-27b |
| Released | ||
| Released | October 15, 2025 | August 13, 2026 |
| Artificial Analysis Intelligence Index (2026-09-26) | ||
| Artificial Analysis Intelligence Index (2026-09-26) | 16.9 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | ||
| Artificial Analysis Intelligence Index [xhigh] (2026-09-26) | Not verifiedUnverified | 33.7 |
| SWE-bench Verified (2026-02-17) | ||
| SWE-bench Verified (2026-02-17) | 66.6 | Not verifiedUnverified |
| Terminal-Bench (2025-10-15) | ||
| Terminal-Bench (2025-10-15) | 40.21 | Not verifiedUnverified |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
Where each score comes from, and how far it can be compared across models.
- 2026-09-26Artificial Analysis
Composite index blending reasoning, knowledge, and coding evals into one 0–100 score.
Comparable with caveatOnly same-version scores are comparable. v4.3.2 was rebaselined (the top score fell from 66 on v4.1.1 to ~58), so v4.1.1 figures must not be compared with v4.3.2 figures — check measuredAt.
- 2026-02-17SWE-bench official leaderboard (independent harness: mini-SWE-agent bash-only, $0.33/task; conflicts with vendor 73.3 — both preserved)
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
- 2025-10-15Anthropic — Introducing Claude Haiku 4.5 (vendor, Terminus 2, no thinking, 6 runs; 41.75 with 32K thinking)
Real GitHub issue resolution: does the model's patch pass the hidden tests.
Comparable with caveatPost-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
Pricing tiers
Claude Haiku 4.5: Standard $1/$5 per MTok; cache reads 10% of base input. 200K context (vs 1M on Opus 5.5 and Sonnet 5).
Qwen 3.8 27B: Hosted qwen3.8-27b lists $0.50/$3.00 per MTok on Alibaba Cloud Model Studio (API launched 2026-08-19). Open weights (Apache 2.0) for self-hosting.
Claude Haiku 4.5
Claude Haiku 4.5 is Anthropic's fastest, cheapest tier for high-volume classification and extraction.
Best for
- High-volume classification
- Routine extraction
- Latency-sensitive stacks
Watch out
No adaptive thinking (manual extended thinking via budget_tokens only); 200K context. Anthropic lists 2026-10-15 as the earliest possible retirement date, and Haiku 5.5 is announced but not released.
Qwen 3.8 27B
Qwen 3.8 27B is Alibaba's compact deployment-friendly dense VLM — 262K native context (1M via YaRN), Apache 2.0 weights, distinct from the hosted Qwen 3.8 Max API.
Best for
- Self-hosting on a single node
- Multimodal input at small scale
- Long-context on modest hardware
Watch out
Dense 27B means higher memory per token than an MoE of equal active size; video input is multimodal-input only.
When the cheaper one wins
Qwen 3.8 27B is cheaper on output at $3 per million tokens against $5 for Claude Haiku 4.5 — about 1.7×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 3/5 core specs verified on both sides — Not published for at least one side: max output, parameter count.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 2 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- Claude Haiku 4.5: Anthropic — Claude Haiku 4.5 (accessed 2026-08-29)
- Claude Haiku 4.5: Anthropic pricing (accessed 2026-08-29)
- Qwen 3.8 27B: HuggingFace — Qwen3.8-27B model card (accessed 2026-08-29)
- Qwen 3.8 27B: LiveBench Leaderboard (Qwen 3.8 27B row) (accessed 2026-08-29)
- Qwen 3.8 27B: Alibaba Cloud Model Studio pricing (qwen3.8-27b $0.50/$3.00) (accessed 2026-09-26)
Related comparisons
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- Claude Fable 5 vs Claude Haiku 4.5
- Claude Haiku 4.5 vs Claude Mythos 5.1
- Claude Haiku 4.5 vs Claude Opus 5
- Claude Haiku 4.5 vs Claude Opus 5.5
- Claude Haiku 4.5 vs Claude Sonnet 5
Diving deeper on one model? Claude Haiku 4.5 · Qwen 3.8 27B
Common questions
Claude Haiku 4.5 vs Qwen 3.8 27B
Answered from the verified figures on this page rather than general guidance.
Is Claude Haiku 4.5 or Qwen 3.8 27B cheaper for input?
Is Claude Haiku 4.5 or Qwen 3.8 27B cheaper for output?
Which has the larger context window, Claude Haiku 4.5 or Qwen 3.8 27B?
Do Claude Haiku 4.5 and Qwen 3.8 27B support the same reasoning levels?
Should I use Claude Haiku 4.5 or Qwen 3.8 27B?
Can I self-host Claude Haiku 4.5 or Qwen 3.8 27B?
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: Qwen 3.8 27B costs $0.50 per 1M tokens versus $1 for Claude Haiku 4.5 — a 2x difference at the headline tier.
- Context: Qwen 3.8 27B takes 262K against 200K for Claude Haiku 4.5 — only decisive if your prompts approach the smaller window.
- Deployment: Qwen 3.8 27B publishes weights you can self-host; the other is API-only.
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.