Claude Haiku 5.5 vs Schematron V2 Turbo
Schematron V2 Turbo costs 3.3x less per output token than Claude Haiku 5.5 ($0.15 vs $0.50 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- 70.7
- Overall
- 67.1
- Output $/M
- $0.50
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
Claude Haiku 5.5 or Schematron V2 Turbo: which to pick
Only Claude Haiku 5.5 has a coding score, 70.7 on the Vibe Coding Index; Schematron V2 Turbo has none, so the two cannot be ranked on coding.
Pick Schematron V2 Turbo for output tokens 3.3x cheaper ($0.15 vs $0.50 per million).
No benchmark has tested both yet. Claude Haiku 5.5 has results on LiveBench coding, LMArena WebDev and Terminal-Bench 4 (Vals AI); Schematron V2 Turbo has none yet. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Haiku 5.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Claude Haiku 5.5 has a AA Intelligence Index result, 43.4.
Directional only
Web design
Design Arena: websites
No call
Only Claude Haiku 5.5 has a Design Arena: websites result, 1262.
Directional only
General
Vals Index
No call
Only Claude Haiku 5.5 has a Vals Index result, 58.7%.
Directional only
Long documents
Listed context window
Claude Haiku 5.5
Claude Haiku 5.5 takes 1M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Schematron V2 Turbo
Claude Haiku 5.5 $0.0003, Schematron V2 Turbo $0.0001 per turn.
List prices
At a glance
- Coding index
- Claude Haiku 5.5 70.7 from 5 benchmarks, Schematron V2 Turbo not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Claude Haiku 5.5 $0.50 against Schematron V2 Turbo $0.15 per million output tokens, 3.3x apart.
- Context window
- Claude Haiku 5.5 takes 1M tokens, Schematron V2 Turbo 128K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index19 boards measured
| Benchmark | Claude Haiku 5.5 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| LiveBench coding | 91.4% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena WebDev | 1585 | Not measured | Only Claude Haiku 5.5 measured |
| Terminal-Bench 4 (Vals AI) | 36.4% | Not measured | Only Claude Haiku 5.5 measured |
| Vibe Code Bench (Vals AI) | 90.4% | Not measured | Only Claude Haiku 5.5 measured |
| Code migration (Vals AI) | 44.6% | Not measured | Only Claude Haiku 5.5 measured |
| ProgramBench (Vals AI) | 2.5% | Not measured | Only Claude Haiku 5.5 measured |
| IOI (Vals AI) | 47.3% | Not measured | Only Claude Haiku 5.5 measured |
| SWE-bench Multimodal (Vals AI) | 44.0% | Not measured | Only Claude Haiku 5.5 measured |
| Vibe Code Bench 1-100 (Vals AI) | 20.4% | Not measured | Only Claude Haiku 5.5 measured |
| CyberBench (Vals AI) | 75.5% | Not measured | Only Claude Haiku 5.5 measured |
| SciCode | 55.0% | Not measured | Only Claude Haiku 5.5 measured |
| FrontierCode | 46.4% | Not measured | Only Claude Haiku 5.5 measured |
| FrontierSWE | 43.8% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: coding | 1450 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: software and IT | 1446 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena WebDev: React | 1606 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena WebDev: HTML | 1565 | Not measured | Only Claude Haiku 5.5 measured |
| SciCode | 9.2% | Not measured | Only Claude Haiku 5.5 measured |
| SWE-Bench Pro V2 | 87.2% | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Claude Haiku 5.5 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 43.4 | Not measured | Only Claude Haiku 5.5 measured |
| Epoch Capabilities Index | 159.3 | Not measured | Only Claude Haiku 5.5 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
| Benchmark | Claude Haiku 5.5 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| LiveBench research | 81.9% | Not measured | Only Claude Haiku 5.5 measured |
| LiveBench browser | 80.0% | Not measured | Only Claude Haiku 5.5 measured |
| LiveBench long agentic | 57.6% | Not measured | Only Claude Haiku 5.5 measured |
| SREBench (Vals AI) | 5.7% | Not measured | Only Claude Haiku 5.5 measured |
| Finance Agent (Vals AI) | 54.1% | Not measured | Only Claude Haiku 5.5 measured |
| Tax Agent Bench (Vals AI) | 31.9% | Not measured | Only Claude Haiku 5.5 measured |
| Legal Research Bench (Vals AI) | 43.3% | Not measured | Only Claude Haiku 5.5 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 4.2% | Not measured | Only Claude Haiku 5.5 measured |
| Excel Modeling Benchmark (Vals AI) | 59.0% | Not measured | Only Claude Haiku 5.5 measured |
| BioMysteryBench (Vals AI) | 70.4% | Not measured | Only Claude Haiku 5.5 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | Not measured | Only Claude Haiku 5.5 measured |
| Vals Science Index | 38.5% | Not measured | Only Claude Haiku 5.5 measured |
| APEX-Agents | 56.1% | Not measured | Only Claude Haiku 5.5 measured |
| Vending-Bench 2 | $3,602 | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
| Benchmark | Claude Haiku 5.5 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| LiveBench reasoning | 82.4% | Not measured | Only Claude Haiku 5.5 measured |
| MysteryMechanism (Vals AI) | 35.1% | Not measured | Only Claude Haiku 5.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 44.4% | Not measured | Only Claude Haiku 5.5 measured |
| GPQA Diamond (Epoch AI run) | 89.6% | Not measured | Only Claude Haiku 5.5 measured |
| ARC-AGI | 89.0% | Not measured | Only Claude Haiku 5.5 measured |
| ARC-AGI-2 | 61.3% | Not measured | Only Claude Haiku 5.5 measured |
| Chess puzzles | 55.0% | Not measured | Only Claude Haiku 5.5 measured |
| Mystery game puzzles | 30.0% | Not measured | Only Claude Haiku 5.5 measured |
| EBR-bench | 43.8% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: hard prompts | 1421 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: expert | 1448 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: hard prompts in English | 1429 | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 11 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Claude Haiku 5.5 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | Not measured | Only Claude Haiku 5.5 measured |
| FrontierMath, tiers 1 to 3 | 75.1% | Not measured | Only Claude Haiku 5.5 measured |
| FrontierMath, tier 4 | 46.3% | Not measured | Only Claude Haiku 5.5 measured |
| ProofBench | 89.0% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: math | 1413 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: mathematical work | 1431 | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Claude Haiku 5.5 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 51.5% | Not measured | Only Claude Haiku 5.5 measured |
| SimpleQA Verified | 23.8% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: science | 1408 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: medicine and healthcare | 1372 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: legal and government | 1395 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: business and finance | 1406 | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | Claude Haiku 5.5 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1262 | Not measured | Only Claude Haiku 5.5 measured |
| Design Arena: UI components | 1282 | Not measured | Only Claude Haiku 5.5 measured |
| Design Arena: game dev | 1315 | Not measured | Only Claude Haiku 5.5 measured |
| Design Arena: data viz | 1293 | Not measured | Only Claude Haiku 5.5 measured |
| Design Arena: 3D | 1342 | Not measured | Only Claude Haiku 5.5 measured |
| Design Arena: all code categories | 1277 | Not measured | Only Claude Haiku 5.5 measured |
| LiveBench design | 83.1% | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index23 boards measured
| Benchmark | Claude Haiku 5.5 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| Vals Index | 58.7% | Not measured | Only Claude Haiku 5.5 measured |
| LiveBench data analysis | 53.1% | Not measured | Only Claude Haiku 5.5 measured |
| Public Benefits Bench (Vals AI) | 63.2% | Not measured | Only Claude Haiku 5.5 measured |
| SAGE (Vals AI) | 45.8% | Not measured | Only Claude Haiku 5.5 measured |
| MedScribe (Vals AI) | 89.5% | Not measured | Only Claude Haiku 5.5 measured |
| Long context reasoning (AA-LCR) | 82.7% | Not measured | Only Claude Haiku 5.5 measured |
| DTBench | 95.0% | Not measured | Only Claude Haiku 5.5 measured |
| LMCA | 51.1% | Not measured | Only Claude Haiku 5.5 measured |
| Furniture assembly | 47.5% | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text | 1401 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: instruction following | 1416 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: creative writing | 1336 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: English | 1409 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: non-English | 1386 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: Chinese | 1431 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: French | 1441 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: Spanish | 1385 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: Russian | 1373 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: multi-turn | 1396 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: longer queries | 1399 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: writing and language | 1370 | Not measured | Only Claude Haiku 5.5 measured |
| LMArena Text: entertainment and media | 1352 | Not measured | Only Claude Haiku 5.5 measured |
| MultiChallenge | 67.7% | Not measured | Only Claude Haiku 5.5 measured |
| Neither model has a result on the other 25 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Schematron V2 Turbo costs less
Repository review
50K input + 3K output tokens
Schematron V2 Turbo costs less
Agent loop
200K input + 10K output tokens
Schematron V2 Turbo costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Anthropic Claude Haiku 5.5 | Inference.net Schematron V2 Turbo |
|---|---|---|
| Maker | Anthropic | Inference.net |
| Weights | No public weights listed | Open weights |
| Released | October 7, 2026 | September 12, 2026 |
| Context window | 1M | 128K |
| Input $/Mtok | $0.10 | $0.03 |
| Output $/Mtok | $0.50 | $0.15 |
| Coding index | 70.7 | Not benchmarked |
| Independent measurements behind it | 5 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Haiku 5.5 better than Schematron V2 Turbo for coding?
Only Claude Haiku 5.5 has a coding score, 70.7 on the Vibe Coding Index; Schematron V2 Turbo has none, so the two cannot be ranked on coding. Pick Schematron V2 Turbo for output tokens 3.3x cheaper ($0.15 vs $0.50 per million).
Which is cheaper, Claude Haiku 5.5 or Schematron V2 Turbo?
Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; Schematron V2 Turbo costs $0.03 and $0.15. Cost per solved task is known for neither of them.
Which has the bigger context window, Claude Haiku 5.5 or Schematron V2 Turbo?
Claude Haiku 5.5, with 1M tokens against 128K.
Has any benchmark tested both Claude Haiku 5.5 and Schematron V2 Turbo?
No benchmark has tested both yet. Claude Haiku 5.5 has results on LiveBench coding, LMArena WebDev and Terminal-Bench 4 (Vals AI); Schematron V2 Turbo has none yet. Compare them on price and context instead. Data as of October 23, 2026.