Claude 4 Haiku wins on price ($0.8 vs $2/1M input). Gemini 3.1 Pro wins on coding (80 vs 52) and context window (2M vs 200K). For most workflows, Claude 4 Haiku is the stronger default — best low-cost writing option for fast-moving content teams.
The safest Claude 4 Haiku vs Gemini 3.1 Pro default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude 4 Haiku is the strongest answer here for Claude 4 Haiku vs Gemini 3.1 Pro — pick it when quality of output matters more than the $0.80/1M/1M input you pay for it.
Claude Opus 4.5 is the cheaper way in for Claude 4 Haiku vs Gemini 3.1 Pro, at $5.00/1M/1M input against Claude 4 Haiku's $0.80/1M/1M.
Gemini 3.1 Pro is the fastest of these for Claude 4 Haiku vs Gemini 3.1 Pro — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Gemini 3.1 Pro leads on coding with a score of 80 vs 52 for Claude 4 Haiku.
Gemini 3.1 Pro has the larger context window: 2M vs 200K for Claude 4 Haiku.
Claude 4 Haiku is cheaper at $0.8/1M input tokens vs $2/1M for Gemini 3.1 Pro.
Go with Claude 4 Haiku if you want one model to handle writing and budget — it targets fast budget writing, support automation, and cost-sensitive Anthropic integrations.
Switch to Gemini 3.1 Pro when your work is mostly research and deep document analysis; on that narrower brief it is the better tool.
Both models serve different primary workflows — Claude 4 Haiku for fast budget writing and support automation, Gemini 3.1 Pro for research and deep document analysis — 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 4 Haiku vs Gemini 3.1 Pro answer changes when cost, speed, or long-document depth leads the decision.
Google / Premium / Sep 2, 2026
Best for research and deep document analysis — 2M context at the best premium price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Your primary use case is writing quality or agentic coding — Claude wins both.
Where the Claude 4 Haiku vs Gemini 3.1 Pro recommendation shifts once you weigh price or latency differently.
Best low-cost writing option for fast-moving content teams.
Best for research and deep document analysis — 2M context at the best premium price.
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 4 HaikuAnthropic | $0.80/1M | $4.00/1M | $16 | 200k tokens | Very fast | 52 | 85 | 62 |
| Gemini 3.1 ProGoogle | $2.00/1M | $12.00/1M | $44 | 2M tokens | Balanced | 80 | 82 | 99 |
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 4 Haiku vs Gemini 3.1 Pro, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for Claude 4 Haiku vs Gemini 3.1 Pro: 85/100 on writing, with the widest margin of anything in this line-up.
Fast and affordable Anthropic option that keeps writing quality surprisingly high for the price.
Cost is your only concern — Gemini 3.1 Flash offers similar value with a larger context window.
The best pick when you want Anthropic quality at a budget price point — especially for writing-heavy automations.
Full pricing, benchmark table and release notes on the Claude 4 Haiku page.
The fastest model in this shortlist for Claude 4 Haiku vs Gemini 3.1 Pro. Pick it when turnaround is what your readers or users notice.
Google's flagship with the largest context window of any frontier model at 2M tokens, Deep Think reasoning, and the best price-to-performance among premium models.
Your primary use case is writing quality or agentic coding — Claude wins both.
The best research and long-context model available. Handles entire codebases, legal documents, and large datasets in a single pass — at a lower price than GPT-5.4 or Claude Sonnet 4.6.
Full pricing, benchmark table and release notes on the Gemini 3.1 Pro page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude 4 Haiku wins on more of the categories we score — writing, budget, research — so it is the better default of the two. Gemini 3.1 Pro is the better pick when your work is mostly research and deep document analysis. Neither is universally "better": Claude 4 Haiku is aimed at fast budget writing and support automation, Gemini 3.1 Pro at research and deep document analysis.
Claude 4 Haiku is cheaper at $0.8/1M input and $4/1M output. Gemini 3.1 Pro costs $2/1M input and $12/1M output.
Gemini 3.1 Pro has the larger context window at 2M tokens vs Claude 4 Haiku's 200K. For large document analysis, Gemini 3.1 Pro is the stronger pick.
Gemini 3.1 Pro is better for coding with a score of 80 vs Claude 4 Haiku's 52 (out of 100). GPT-6 Astra is the overall coding leader in this directory at 100/100.
Claude 4 Haiku is faster with a very fast speed rating (score: 5) vs Gemini 3.1 Pro's balanced rating (score: 3). Speed matters most for interactive and high-throughput work; for batch jobs the Gemini 3.1 Pro latency penalty is usually invisible.
Less strong on deep reasoning and coding than larger models. Gemini 3.1 Flash-Lite is now cheaper with a larger context window. Avoid it if cost is your only concern — Gemini 3.1 Flash offers similar value with a larger context window. That is the main case for looking at Gemini 3.1 Pro instead.
Slower than Flash for everyday lightweight tasks. Claude Sonnet 4.6 is better for writing quality. Avoid it if your primary use case is writing quality or agentic coding — Claude wins both. Against Claude 4 Haiku specifically, the gap shows up most on coding (52 vs 80).
Take a moderate workload of 10M input and 2M output tokens a month. Claude 4 Haiku runs $16.00 (at $0.8/1M in and $4/1M out); Gemini 3.1 Pro runs $44.00 (at $2/1M in and $12/1M out). That is a $28.00/month difference — Claude 4 Haiku 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 4 Haiku for fast budget writing and support automation, with Gemini 3.1 Pro handling research and deep document analysis. Since Claude 4 Haiku is both the stronger and the cheaper option here, a split mainly makes sense if Gemini 3.1 Pro covers a capability you specifically need.