Claude Haiku 5.5 wins on price ($0.1 vs $0.75/1M input). Gemini 3.8 Flash wins on coding (92 vs 86). For most workflows, Claude Haiku 5.5 is the stronger default — anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.
The safest Claude Haiku 5.5 vs Gemini 3.8 Flash default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Haiku 5.5 is the strongest answer here for Claude Haiku 5.5 vs Gemini 3.8 Flash — pick it when quality of output matters more than the $0.10/1M/1M input you pay for it.
Claude Sonnet 5.5 is the cheaper way in for Claude Haiku 5.5 vs Gemini 3.8 Flash, at $2.00/1M/1M input against Claude Haiku 5.5's $0.10/1M/1M.
Gemini 3.8 Flash is the fastest of these for Claude Haiku 5.5 vs Gemini 3.8 Flash — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Gemini 3.8 Flash leads on coding with a score of 92 vs 86 for Claude Haiku 5.5.
Claude Haiku 5.5 is cheaper at $0.1/1M input tokens vs $0.75/1M for Gemini 3.8 Flash.
Claude Haiku 5.5 is the stronger default for coding tasks.
Choose Claude Haiku 5.5 for high-volume tool use, sub-agents and everyday tasks on a tight budget. Its coding and writing scores are what carry the recommendation here.
Switch to Gemini 3.8 Flash when your work is mostly fast and low-cost agentic coding and multimodal work; on that narrower brief it is the better tool.
Both models serve different primary workflows — Claude Haiku 5.5 for high-volume tool use and sub-agents and everyday tasks on a tight budget, Gemini 3.8 Flash for fast and low-cost agentic coding and multimodal work — so running each where it has a clear edge often beats forcing one to do both.
Switch the scoring lens to see whether the Claude Haiku 5.5 vs Gemini 3.8 Flash answer changes when cost, speed, or long-document depth leads the decision.
Google / Balanced / Oct 10, 2026
Google's fast agentic workhorse — strong coding at Flash pricing.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need long single responses (65K output cap) or your workload is output-heavy enough that its verbosity erases the per-token saving.
Where the Claude Haiku 5.5 vs Gemini 3.8 Flash recommendation shifts once you weigh price or latency differently.
Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.
Google's fast agentic workhorse — strong coding at Flash pricing.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Haiku 5.5Anthropic | $0.10/1M | $0.50/1M | $2.00 | 1M tokens | Very fast | 86 | 84 | 82 |
| Gemini 3.8 FlashGoogle | $0.75/1M | $3.75/1M | $15 | 1M tokens | Very fast | 92 | 86 | 89 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for Claude Haiku 5.5 vs Gemini 3.8 Flash, what it is genuinely good at, and where we would steer you away from it.
The default answer for Claude Haiku 5.5 vs Gemini 3.8 Flash — 86/100 on the coding axis, and the model we would start with unless the price below rules it out.
Anthropic's October 7, 2026 low-cost model and the first Haiku with adjustable reasoning effort — thinking can be switched off for simple requests or raised to max, at $0.10/$0.50 per 1M under 100K input tokens.
Your prompts routinely exceed 100K tokens, where the price quintuples, or the task needs sustained reasoning that Sonnet 5.5 handles far better.
The cheapest way to put an Anthropic model in a high-volume pipeline. Keep requests under 100K tokens to stay on the low rate, and set effort per task — at low effort it is a fast classifier, at max it handles real tool-use work.
Full pricing, benchmark table and release notes on the Claude Haiku 5.5 page.
The fastest model in this shortlist for Claude Haiku 5.5 vs Gemini 3.8 Flash. Pick it when turnaround is what your readers or users notice.
Google's September 2, 2026 Flash model, positioned as the agentic workhorse of the Gemini 3 family — stronger coding and terminal work than 3.7 Flash at the same $0.75/$3.75 price.
You need long single responses (65K output cap) or your workload is output-heavy enough that its verbosity erases the per-token saving.
The fastest capable model in its price range. Gemini 3.8 Flash is the pick for multimodal and terminal-heavy agent work on a budget; just measure cost per task, not per token, because it writes a lot.
Full pricing, benchmark table and release notes on the Gemini 3.8 Flash page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude Haiku 5.5 wins on more of the categories we score — coding, writing, budget — so it is the better default of the two. Gemini 3.8 Flash is the better pick when your work is mostly fast and low-cost agentic coding and multimodal work. Neither is universally "better": Claude Haiku 5.5 is aimed at high-volume tool use and sub-agents and everyday tasks on a tight budget, Gemini 3.8 Flash at fast and low-cost agentic coding and multimodal work.
Claude Haiku 5.5 is cheaper at $0.1/1M input and $0.5/1M output. Gemini 3.8 Flash costs $0.75/1M input and $3.75/1M output.
Both Claude Haiku 5.5 and Gemini 3.8 Flash have the same 1M context window.
Gemini 3.8 Flash is better for coding with a score of 92 vs Claude Haiku 5.5's 86 (out of 100). Claude Opus 5.5 is the overall coding leader in this directory at 100/100.
Both Claude Haiku 5.5 and Gemini 3.8 Flash have similar speed profiles — rated very fast. Neither will be the bottleneck if latency is your deciding factor.
Long prompts cost five times more: above 100K input tokens the rate becomes $0.50/$2.50. Effort matters a great deal: Terminal-Bench 4.0 is 12.8% at low effort against 39.2% at max. Avoid it if your prompts routinely exceed 100K tokens, where the price quintuples, or the task needs sustained reasoning that Sonnet 5.5 handles far better. That is the main case for looking at Gemini 3.8 Flash instead.
Verbose: Artificial Analysis needed 120M output tokens to run its index against a 71M median, so cost per task runs above the sticker price. 65K max output — half of what Claude and OpenAI's current models allow. Avoid it if you need long single responses (65K output cap) or your workload is output-heavy enough that its verbosity erases the per-token saving. Against Claude Haiku 5.5 specifically, the gap shows up most on coding (86 vs 92).
Take a moderate workload of 10M input and 2M output tokens a month. Claude Haiku 5.5 runs $2.00 (at $0.1/1M in and $0.5/1M out); Gemini 3.8 Flash runs $15.00 (at $0.75/1M in and $3.75/1M out). That is a $13.00/month difference — Claude Haiku 5.5 is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is Claude Haiku 5.5 for high-volume tool use and sub-agents and everyday tasks on a tight budget, with Gemini 3.8 Flash handling fast and low-cost agentic coding and multimodal work. Since Claude Haiku 5.5 is both the stronger and the cheaper option here, a split mainly makes sense if Gemini 3.8 Flash covers a capability you specifically need.