Blog · 2026-10-08 · 8 min read
Haiku 5.5 vs Opus 5.5: ~40× Cheaper — Which for Batch Jobs?
Haiku 5.5 vs Opus 5.5 price and benchmark gap for CSV classification vs deep agents — when Haiku wins and when Opus is worth it.
# Haiku 5.5 vs Opus 5.5: Which Claude Model for Batch Workloads?
People searching haiku 5.5 vs opus 5.5 usually want a clear split: cheap/fast bulk labeling vs expensive frontier agent work. This page compares Claude Haiku 5.5 and Claude Opus 5.5 for CSV batch classification, extraction, and RAG preprocessing — with list prices and public benchmark context, not marketing fluff.
Official overviews: Claude Haiku 5.5 · Claude Opus 5.5. Anthropic’s chooser: Choosing the right model.
Quick answer
| Question | Pick |
|---|---|
| Thousands of short rows (sentiment, tickets, keep/drop)? | Haiku 5.5 |
| Multi-hour coding agents, deep research, vision-heavy refactors? | Opus 5.5 |
| Same 1M context — does context alone decide? | No — price and latency do |
| Can Opus “just be safer” for every CSV row? | Usually no — you’ll overpay ~40× on input list p |
Workload fit (decision view)
Qualitative fit from Anthropic’s model roles — not a measured accuracy score.
Haiku 5.5
- · Bulk CSV / short labels
- · Lowest latency & list price
- · Subagent / routing volume
Opus 5.5
- · Long-horizon coding agents
- · Deep research / hard refactors
- · When failure cost ≫ token cost
Source: Anthropic “Choosing the right model” + Haiku / Opus 5.5 overview role copy.
rice |
Specs side by side
| Spec | Haiku 5.5 | Opus 5.5 |
|---|---|---|
| API model ID | claude-haiku-5-5 | claude-opus-5-5 |
| Anthropic role | High-volume, latency-sensitive classification / extraction / routing / subagents | Long-running agentic coding & knowledge work |
| Context / max output | 1M / 128k (Batch API beta up to 300k) | 1M / 128k (Batch API beta up to 300k) |
| Comparative latency | Fastest in the current lineup | Moderate |
| Thinking | Adaptive; default effort medium | Adaptive (always on); default effort medium |
| Knowledge cutoff | Jun 2026 | Jun 2026 |
| Input → output | Text + image → text | Text + image |
Context & max output (parity)
Both advertise the same window on current Anthropic docs
- Haiku context1M
- Opus context1M
- Haiku max out128k
- Opus max out128k
Source: Anthropic Haiku 5.5 & Opus 5.5 overview tables.
Comparative latency
Anthropic’s qualitative lineup labels
Haiku 5.5 — Fastest
Opus 5.5 — Moderate
Source: Anthropic overview “Comparative latency” column (not wall-clock ms).
→ text |
Sources: Anthropic model overview tables (Haiku 5.5 / Opus 5.5).
Pricing: the real Haiku 5.5 vs Opus 5.5 gap
Anthropic list prices (per 1M tokens):
| Haiku 5.5 (prompts ≤100k) | Haiku 5.5 (prompts >100k) | Opus 5.5 | |
|---|---|---|---|
| Input | $0.10 | $0.50 | $4.00 |
| Output | $0.50 | $2.50 | $20.00 |
| Cache read | $0.01 ($0.05 above 100k) | $0.20 | |
| Batch API | 50% off input/output | 50% off input/ |
Input $ / 1M tokens
≤100k prompt tier for Haiku vs Opus list
- Haiku ≤100k$0.10
- Haiku >100k$0.50
- Opus 5.5$4.00
Source: Anthropic list prices — Haiku $0.10 (≤100k) vs Opus $4.00 → 40×.
Output $ / 1M tokens
Same 40× gap on output list price
- Haiku ≤100k$0.50
- Haiku >100k$2.50
- Opus 5.5$20.00
Source: Anthropic list prices — Haiku $0.50 (≤100k) vs Opus $20.00 → 40×.
output |
Rough ratio (≤100k prompts): Opus input is 40× Haiku ($4 / $0.10); Opus output is 40× Haiku ($20 / $0.50).
For a typical BatchHaiku-style row (short system template + one review line + a one-word label), most of the bill is repeated system/input tokens. Running Opus on every trivial sentiment row is almost never rational once Haiku hits your quality bar.
Haiku’s tiered pricing matters: if your system prompt + row pushes past 100k tokens, Haiku input jumps to $0.50/M — still far below Opus $4/M, but keep long RAG dumps under the cliff when possible. See Haiku 5.5 pricing.
Benchmarks (public, cited)
Independent Artificial Analysis / Opus 5.5 AA write-up:
| Metric | Haiku 5.5 | Opus 5.5 | Note |
|---|---|---|---|
| Intelligence Index (max) | 43 | 58 | Opus leads the AA Index as of the Opus 5.5 article |
| Role vs Sonnet | Trails Sonnet 5.5 (max 56) by 13 | Above Sonnet | Haiku is small-class; Opus is frontier |
| Cost posture on Index tasks | AA cites ~$0.21/task at Haiku max (third-party summary) | Far higher $/task at frontier verbosity | Exact $/task moves with harness versions — check li |
AA Intelligence Index (max effort)
Independent leaderboard — Opus leads; Haiku is small-class
- Opus 5.5 (max)58
- Sonnet 5.5 (max)56
- Haiku 5.5 (max)43
Source: Artificial Analysis — Haiku 5.5 article (43); Opus 5.5 article (58); Sonnet 5.5 max 56 cited in Haiku AA write-up.
ve AA |
How to read Haiku 5.5 vs Opus 5.5 benchmarks for batch: Index and coding harnesses reward long reasoning. A +15 Index gap does not mean Opus is 15 points better at “positive / neutral / negative” on your CSV. Measure label F1, invalid-rate, p95 latency, and credits on a golden set. Methodology: Haiku 5.5 benchmarks.
Vendor SWE-style numbers live on Anthropic system cards and are not interchangeable with AA Terminal-Bench protocols — don’t mix them in one ranking without labels.
When to choose Haiku 5.5
Use Haiku 5.5 when:
- You process high-volume short text (reviews, tickets, RAG chunk keep/drop)
- Latency and $/1k rows dominate
- You want Anthropic’s documented “fastest / lowest price” tier for intelligent processing and subagents
- You can omit
temperature/top_p/top_kand handle adaptive thinking +effort
When to choose Opus 5.5
Use Opus 5.5 when:
- Jobs are long-horizon agents (multi-hour coding, large refactors, tool-heavy workflows)
- Failures are expensive (legal/ops analysis, complex multi-file patches) and a higher list price is justified
- You need frontier scores on hard agentic / knowledge-work evals more than throughput
Anthropic’s own chooser puts Opus on “complex agentic coding and enterprise work” and Haiku on “lowest latency and price” / high-volume processing — that split matches batch economics.
Hybrid pattern (recommended)
- Default path: Haiku 5.5 for all standard templates on BatchHaiku.
- Escalate: Send only low-confidence / high-value rows to Sonnet or Opus if you add a second stage later.
- Never: Swap Opus in as the default for every CSV line “just in case.”
Haiku 5.5 vs Opus 5.5 vs Sonnet 5.5 (one line)
- Haiku 5.5 — bulk & speed
- Sonnet 5.5 — everyday coding / balanced agent work (~$2 / $10)
- Opus 5.5 — hardest agentic jobs (~$4 / $20)
Longer Sonnet comparison: Haiku 5.5 vs Sonnet 5.5.
FAQ
Is Opus 5.5 always more accurate than Haiku 5.5 on classification?
Not automatically. For constrained labels, Haiku often matches production needs at a fraction of the cost. Prove it on your labeled sample before paying Opus rates.
Do both models share a 1M context window?
Yes — both advertise 1M context and 128k max sync output on current Anthropic docs. Context parity does not erase the price gap.
Can I run Opus on BatchHaiku today?
BatchHaiku meters Cloudflare AI–backed Haiku inference for the live CSV tool. Use this page to decide routing strategy; don’t assume every Anthropic model ID is exposed on every host.
Related
BatchHaiku is an independent third-party tool, not affiliated with Anthropic. Prices and benchmark figures are cited from public Anthropic / Artificial Analysis materials and may change.
List input price trio ($ / 1M, short-prompt Haiku tier)
Where Haiku / Sonnet / Opus sit on Anthropic’s ladder
- Haiku 5.5$0.10
- Sonnet 5.5$2.00
- Opus 5.5$4.00
Source: Anthropic overviews — Haiku from $0.10; Sonnet $2; Opus $4 (input / MTok).
BatchHaiku is an independent third-party tool, NOT affiliated with or endorsed by Anthropic. Live inference currently runs Claude Haiku 4.5 via Cloudflare AI (auto-upgrades to Haiku 5.5 when available) under your account usage terms.