Pick Claude Haiku 4.5 for fastest claude model or low-latency, high-volume api calls. Pick Gemini 3.1 Pro for largest mainstream production context (2m) or long video and document analysis. On a tight budget at scale, Claude Haiku 4.5 is the value pick.
Claude Haiku 4.5 (Anthropic) and Gemini 3.1 Pro (Google) are two of the models people most often weigh against each other in 2026. Claude Haiku 4.5 is anthropic's fastest, most compact model — built for speed and volume. Gemini 3.1 Pro is a 2M-token multimodal workhorse — huge breadth, but recall fades deep in the window. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: Claude Haiku 4.5 is about 12× cheaper on input ($1/$5 per 1M tokens vs $12/$18 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
Context window: Gemini 3.1 Pro holds 10× more — 2M (~3,000 pages) vs 200K (~300 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
Recency: Gemini 3.1 Pro is the newer model by about 4 months (released February 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Claude Haiku 4.5
Gemini 3.1 Pro
Provider
Anthropic (US)
Google (US)
Released
2025
February 2026
Context window
200K (~300 pages)
2M (~3,000 pages)
Price (in/out)
$1/$5 per 1M tokens
$12/$18 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, image, audio, video, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
26.3%
Who wins what
Fastest Claude model: Claude Haiku 4.5 — A core design strength of Claude Haiku 4.5.
Low-latency, high-volume API calls: Claude Haiku 4.5 — A core design strength of Claude Haiku 4.5.
Real-time interactions: Claude Haiku 4.5 — A core design strength of Claude Haiku 4.5.
Largest mainstream production context (2M): Gemini 3.1 Pro — A core design strength of Gemini 3.1 Pro.
Long video and document analysis: Gemini 3.1 Pro — A core design strength of Gemini 3.1 Pro.
Agentic reasoning (high ARC-AGI-2): Gemini 3.1 Pro — A core design strength of Gemini 3.1 Pro.
Lowest cost at scale: Claude Haiku 4.5 — At $1/$5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: Gemini 3.1 Pro — Its 2M window is about 10× larger, fitting roughly 3,000 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Claude Haiku 4.5 — At $1/$5 per 1M tokens it undercuts Gemini 3.1 Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.1 Pro — Larger 2M window fits more in one prompt.
Anyone whose priority is fastest claude model: Claude Haiku 4.5 — It is specifically built for that.
Anyone whose priority is largest mainstream production context (2m): Gemini 3.1 Pro — That is its strongest area.
Claude Haiku 4.5: where it fits
Anthropic's fastest, most compact model — built for speed and volume. Released 2025 by Anthropic, it is built for fastest Claude model, low-latency, high-volume API calls, real-time interactions, and cheapest Claude tier.
Its trade-offs are real: smallest context in the family (200K), and not for deep reasoning. At $1 in / $5 out per million tokens, it sits in the budget price band.
Gemini 3.1 Pro: where it fits
A 2M-token multimodal workhorse — huge breadth, but recall fades deep in the window. Released February 2026 by Google, it is built for largest mainstream production context (2M), long video and document analysis, agentic reasoning (high ARC-AGI-2), and multimodal understanding.
Its trade-offs: long-context recall drops sharply past 256K, and premium price per token. At $12 in / $18 out per million tokens, it sits in the premium price band.
The bottom line for this matchup
Claude Haiku 4.5 and Gemini 3.1 Pro overlap enough that the right pick depends on your specific job. Claude Haiku 4.5 costs less per token; Gemini 3.1 Pro holds the larger context; and each leads in its own area — Claude Haiku 4.5 for fastest claude model, Gemini 3.1 Pro for largest mainstream production context (2m). Rather than crowning one, run the same hard task through both once and let the results decide.
Frequently asked questions
Is Claude Haiku 4.5 or Gemini 3.1 Pro better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Claude Haiku 4.5 leans toward fastest claude model while Gemini 3.1 Pro leans toward largest mainstream production context (2m), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Haiku 4.5 or Gemini 3.1 Pro?
Claude Haiku 4.5 is cheaper — $1/$5 per 1M tokens vs $12/$18 per 1M tokens, roughly 12× apart on input.
Which has the bigger context window?
Gemini 3.1 Pro — 2M vs 200K, about 10× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Claude Haiku 4.5 and Gemini 3.1 Pro together?
Yes — a multi-model platform like LumiChats gives you Claude Haiku 4.5, Gemini 3.1 Pro and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Claude Haiku 4.5 or Gemini 3.1 Pro?
Gemini 3.1 Pro — released February 2026, about 4 months after Claude Haiku 4.5.
Claude Haiku 4.5 vs Gemini 3.1 Pro
Anthropic · US | Google · US · Updated June 2026
Quick verdict
Pick Claude Haiku 4.5 for fastest claude model or low-latency, high-volume api calls. Pick Gemini 3.1 Pro for largest mainstream production context (2m) or long video and document analysis. On a tight budget at scale, Claude Haiku 4.5 is the value pick.
Claude Haiku 4.5 (Anthropic) and Gemini 3.1 Pro (Google) are two of the models people most often weigh against each other in 2026. Claude Haiku 4.5 is anthropic's fastest, most compact model — built for speed and volume. Gemini 3.1 Pro is a 2M-token multimodal workhorse — huge breadth, but recall fades deep in the window. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: Claude Haiku 4.5 is about 12× cheaper on input ($1/$5 per 1M tokens vs $12/$18 per 1M tokens) — a large enough gap that at scale it can be the single biggest line item in the decision.
▸Context window: Gemini 3.1 Pro holds 10× more — 2M (~3,000 pages) vs 200K (~300 pages). But effective recall usually fades long before the advertised ceiling, so the bigger number only helps if the model reasons over it.
▸Recency: Gemini 3.1 Pro is the newer model by about 4 months (released February 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Claude Haiku 4.5
Gemini 3.1 Pro
Provider
Anthropic (US)
Google (US)
Released
2025
February 2026
Context window
200K (~300 pages)
2M (~3,000 pages)
Price (in/out)
$1/$5 per 1M tokens
$12/$18 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, image, audio, video, code
SWE-Bench Verified
Not published
Not published
MRCR v2 @ 1M
Not published
26.3%
Who wins what
Fastest Claude model
Claude Haiku 4.5
A core design strength of Claude Haiku 4.5.
Low-latency, high-volume API calls
Claude Haiku 4.5
A core design strength of Claude Haiku 4.5.
Real-time interactions
Claude Haiku 4.5
A core design strength of Claude Haiku 4.5.
Largest mainstream production context (2M)
Gemini 3.1 Pro
A core design strength of Gemini 3.1 Pro.
Long video and document analysis
Gemini 3.1 Pro
A core design strength of Gemini 3.1 Pro.
Agentic reasoning (high ARC-AGI-2)
Gemini 3.1 Pro
A core design strength of Gemini 3.1 Pro.
Lowest cost at scale
Claude Haiku 4.5
At $1/$5 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Gemini 3.1 Pro
Its 2M window is about 10× larger, fitting roughly 3,000 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Claude Haiku 4.5
At $1/$5 per 1M tokens it undercuts Gemini 3.1 Pro, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.1 Pro
Larger 2M window fits more in one prompt.
Anyone whose priority is fastest claude model
→ Claude Haiku 4.5
It is specifically built for that.
Anyone whose priority is largest mainstream production context (2m)
→ Gemini 3.1 Pro
That is its strongest area.
Claude Haiku 4.5: where it fits
Anthropic's fastest, most compact model — built for speed and volume. Released 2025 by Anthropic, it is built for fastest Claude model, low-latency, high-volume API calls, real-time interactions, and cheapest Claude tier.
Its trade-offs are real: smallest context in the family (200K), and not for deep reasoning. At $1 in / $5 out per million tokens, it sits in the budget price band.
Gemini 3.1 Pro: where it fits
A 2M-token multimodal workhorse — huge breadth, but recall fades deep in the window. Released February 2026 by Google, it is built for largest mainstream production context (2M), long video and document analysis, agentic reasoning (high ARC-AGI-2), and multimodal understanding.
Its trade-offs: long-context recall drops sharply past 256K, and premium price per token. At $12 in / $18 out per million tokens, it sits in the premium price band.
The bottom line for this matchup
Claude Haiku 4.5 and Gemini 3.1 Pro overlap enough that the right pick depends on your specific job. Claude Haiku 4.5 costs less per token; Gemini 3.1 Pro holds the larger context; and each leads in its own area — Claude Haiku 4.5 for fastest claude model, Gemini 3.1 Pro for largest mainstream production context (2m). Rather than crowning one, run the same hard task through both once and let the results decide.
Want both Claude Haiku 4.5 and Gemini 3.1 Pro without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
Is Claude Haiku 4.5 or Gemini 3.1 Pro better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Claude Haiku 4.5 leans toward fastest claude model while Gemini 3.1 Pro leans toward largest mainstream production context (2m), and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Haiku 4.5 or Gemini 3.1 Pro?
Claude Haiku 4.5 is cheaper — $1/$5 per 1M tokens vs $12/$18 per 1M tokens, roughly 12× apart on input.
Which has the bigger context window?
Gemini 3.1 Pro — 2M vs 200K, about 10× larger. Useful only if the model actually reasons over the full window, which not all do.
Can I use both Claude Haiku 4.5 and Gemini 3.1 Pro together?
Yes — a multi-model platform like LumiChats gives you Claude Haiku 4.5, Gemini 3.1 Pro and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, Claude Haiku 4.5 or Gemini 3.1 Pro?
Gemini 3.1 Pro — released February 2026, about 4 months after Claude Haiku 4.5.
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.