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All comparisons

Claude Opus 4.7 vs GPT-5.5: Flagship Showdown for Coding Agents

Both are the flagship of their family. Both cost a small fortune at full retail. The right pick depends entirely on your workload — and the wrong pick costs 5x more than it should.

Option A

Claude Opus 4.7

Anthropic

New tokenizer, advanced coding, the agent's choice.

Context
200k
Max output
128k
Input / 1M
$5.00
Output / 1M
$25.00
Strengths
  • +Cleanest tool-call output of any flagship model
  • +Best long autonomous chain coherence (30+ turns)
  • +Largest output tier (128k tokens) of any flagship
  • +Mature prompt caching with 90% read discount
  • +New tokenizer in 4.7 = ~10% fewer tokens for same English text
Weaknesses
  • $25/M output is the most expensive in the lineup
  • 200k context can be tight for whole-monorepo work
  • Vision is selective (rejects fuzzy images more often than GPT)
Option B

GPT-5.5

OpenAI

Frontier reasoning + multimodal + 256k context.

Context
256k
Max output
32k
Input / 1M
$4.00
Output / 1M
$32.00
Strengths
  • +Strongest reasoning on novel problems and math
  • +Native multimodal (vision + audio + image gen)
  • +Broadest world knowledge
  • +256k context (28% larger than Opus)
Weaknesses
  • 32k max output is a real constraint for long-form generation
  • Tool-call format drifts more than Claude in long chains
  • $32/M output is the most expensive output in any flagship

Round-by-round

Autonomous coding agents

Winner: Claude Opus 4.7

Opus 4.7's tool-call cleanliness and long-chain coherence are exactly what agents need. Claude Code, Cline, OpenClaw, Cursor's agent mode all default to Opus or Sonnet for a reason.

One-shot hard reasoning

Winner: GPT-5.5

If your task is 'solve this novel hard problem in one prompt,' GPT-5.5 has the edge. Math, scientific reasoning, obscure-fact synthesis — GPT-5.5 wins.

Long-form generation (essays, drafts, reports)

Winner: Claude Opus 4.7

Opus 4.7's 128k max output crushes GPT-5.5's 32k. If you need to generate a novel chapter, full report, or large code file, Opus does it in one call. GPT requires chunking.

Multimodal (vision, audio, images)

Winner: GPT-5.5

GPT-5.5 has better vision accuracy, native audio understanding, and image generation. Opus vision works but is more conservative.

Context window

Winner: GPT-5.5

256k beats 200k. For loading large codebases or long documents, GPT-5.5 has 28% more headroom.

Cost per task

Tie

Depends on input/output ratio. For typical coding (high input, moderate output), Opus is slightly cheaper because Opus has cheaper output. For chat (moderate input, low output), GPT is slightly cheaper because GPT has cheaper input. Through claudeapi.cheap Pro, both come down to under $1/M input — affordable enough to pick on capability.

Final verdict

Opus 4.7 for any agentic workload — coding agents, multi-step automation, long generation. GPT-5.5 for hard one-shot reasoning, multimodal tasks, or when 256k context is a hard requirement. Through claudeapi.cheap (80% off Pro), both are $1/M input or less — budget shouldn't drive the choice.

The cheapest path to either winner

Claudeapi.cheap serves both at 80% off list. One sk-cc-... key, both endpoints (Anthropic-format + OpenAI-format), drop-in compatible. Run an A/B in 5 minutes — find your winner per task class.

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FAQ

What's the new tokenizer thing in Opus 4.7?

Opus 4.7 ships with an updated tokenizer that produces ~10% fewer tokens for typical English text vs Opus 4.6. Same input string, fewer billed input tokens. Real money on long-context use.

Is GPT-5.5's 32k output really a problem?

Depends on workload. For chat and tool-using agents, 32k is plenty per turn. For 'write me a 50-page report in one call' or 'output the full refactored 5000-line file,' GPT-5.5 will refuse or truncate. Opus 4.7's 128k handles those.

Can I use both Opus and GPT-5.5 in the same agent?

Yes. A common pattern: GPT-5.5 plans (best reasoning), Opus 4.7 executes (best tool-use). Aider's --architect mode does this natively. Both via one sk-cc-... key on claudeapi.cheap.

Through claudeapi.cheap, what does each cost?

Pro plan ($19 lifetime, 80% off): Opus 4.7 = $1.00 input / $5.00 output per 1M tokens. GPT-5.5 = $0.80 input / $6.40 output per 1M. Both flagships run for under $1/M input — about 1/5 of direct retail.