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AI Choice Engine

Model comparison

Claude Haiku 5.5 vs Gemini 3.7 Flash

Anthropic against Google, compared on context, price, and attributed benchmark results.

Claude Haiku 5.5: profile checked October 25, 2026Gemini 3.7 Flash: profile checked October 25, 2026Individual provider fields may changeEvidence confidence: Insufficient data — see receipts below

Anthropic

Claude Haiku 5.5

Budget

vs

Google

Gemini 3.7 Flash

Budget

AI model capability comparison
SpecificationClaude Haiku 5.5Gemini 3.7 Flash
ProviderAnthropicGoogle
TierBudgetBudget
Context window1MWinner: 1.05M
Max outputWinner: 128K66K
Input / 1M tokens$0.10Not verifiedUnverified
Output / 1M tokens$0.50Not verifiedUnverified
WeightsNot verifiedUnverifiedClosed
ParametersNot verifiedUnverifiedNot verifiedUnverified
Reasoning levelsNot verifiedUnverifiedlow, medium, high
Modalitiestext, imagetext, image, video, audio, pdf
API model idclaude-haiku-5-5gemini-3.7-flash
ReleasedOctober 7, 2026August 13, 2026
Terminal-Bench 2.1 · source date Gemini 3.7 Flash: 2026-08Not verifiedUnverified85.8
DeepSWE 1.1 · source date Gemini 3.7 Flash: 2026-08Not verifiedUnverified65.3
HLE-Verified · source date Gemini 3.7 Flash: 2026-08Not verifiedUnverified53.6

Dates beside benchmark scores refer to the linked source’s publication or capture date unless that source explicitly states when it measured the result. A shared URL alone does not establish comparable runs; unverified setups are marked. Prices are USD per million tokens at standard rates, excluding batch and caching discounts. 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.

Pricing tiers

Claude Haiku 5.5: Base rates apply to prompts up to 100,000 tokens. Above 100,000 tokens, input is $0.50 and output $2.50 per MTok. Cache reads are $0.01/$0.05; 5-minute writes $0.125/$0.625 and 1-hour writes $0.20/$1 for short/long prompts. Batch input/output receives a 50% discount. Standard output is 128K; 300K Batch output requires the documented beta header. Adaptive thinking defaults to medium effort.

Gemini 3.7 Flash: No separate current first-party tariff for the original checkpoint is published. The deprecated API ID routes to gemini-3.8-flash; consult that successor's exact current tier, cache and dated introductory conditions. Historical prices and benchmarks are not a current independent offer for Gemini 3.7 Flash.

BudgetRecord checked October 25, 2026

Claude Haiku 5.5

Anthropic positions Haiku 5.5 for high-volume classification, extraction, routing and subagent tasks, with adaptive thinking and a 1M-token context window.

Best for

  • Classification and extraction
  • Routing
  • High-volume subagent tasks

Watch out

Prices increase fivefold above 100K prompt tokens. The newer tokenizer counts approximately 30% more tokens than Haiku 4.5 for the same text. Omit temperature, top_p and top_k. Thinking blocks are reusable only in the producing account or a linked account. Parameter count and weight availability remain unverified; no predecessor benchmark scores are inherited.

BudgetRecord checked October 25, 2026

Gemini 3.7 Flash

Historical Gemini 3.7 Flash profile retained for original model references and benchmark configurations; its old API ID now routes to Gemini 3.8 Flash.

Best for

  • Historical model and benchmark references
  • Planning migration from the deprecated API ID

Watch out

Original model specifications below are historical reference limits. Since October 8, 2026 API calls to this ID serve Gemini 3.8 Flash; use the successor ID explicitly. Do not attribute the successor's performance or prices to this original checkpoint. Existing benchmark observations keep their measurement dates and configuration.

When the cheaper one wins

One of these rows is missing a verified output price, so this page will not name a cheaper winner. Run the model picker against the actual job instead of guessing.

Run the model picker

Evidence confidence: Insufficient data

How strong and complete the evidence behind this comparison is — not a prediction of which model is better. Hard limitations apply: missing pricing; evidence too sparse.

  • Pricing incomplete — No verified token pricing for Gemini 3.7 Flash.
  • 3/5 core specs verified on both sides — Not published for at least one side: parameter count, reasoning levels.
  • No directly aligned benchmark setup — No benchmark has matching cited sources, source dates, units, effort and recorded run details on both models.
  • Verified within the last 90 days — Older of the two catalog checks was 1 day ago.
  • Source citations incomplete — At least one side lacks the two-source citation set.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Related comparisons

Diving deeper on one model? Claude Haiku 5.5 · Gemini 3.7 Flash

Common questions

Claude Haiku 5.5 vs Gemini 3.7 Flash

Answered from the verified figures on this page rather than general guidance.

Which has the larger context window, Claude Haiku 5.5 or Gemini 3.7 Flash?
Gemini 3.7 Flash accepts 1.05M tokens against 1M for Claude Haiku 5.5. This only matters if you routinely send very long documents or large codebases.
Should I use Claude Haiku 5.5 or Gemini 3.7 Flash?
Both are classified in our budget tier; this editorial grouping does not imply equal capability. Claude Haiku 5.5 is a candidate for classification and extraction; Gemini 3.7 Flash is a candidate for historical model and benchmark references. Compare accuracy, tool reliability, latency and cost on representative tasks.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Context: Gemini 3.7 Flash takes 1.05M against 1M for Claude Haiku 5.5 — only decisive if your prompts approach the smaller window.
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