Pick Claude Haiku 4.5 for fastest claude model or near-frontier coding for its tier — 73.3% on swe-bench verified. Pick Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing or 1m-token context with full multimodal input (text, image, audio, video). On a tight budget at scale, Gemini 3.7 Flash is the value pick.
Claude Haiku 4.5 (Anthropic) and Gemini 3.7 Flash (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 3.7 Flash is google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences
Price: Gemini 3.7 Flash is about 1.3× cheaper on input ($0.75/$3.75 per 1M tokens vs $1/$5 per 1M tokens) — modest, but it adds up at steady volume.
Context window: Gemini 3.7 Flash holds 5.2× more — 1M (~1,573 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 3.7 Flash is the newer model by about 10 months (released August 13, 2026), usually meaning fresher training data and capabilities.
Specifications
Spec
Claude Haiku 4.5
Gemini 3.7 Flash
Provider
Anthropic (US)
Google (US)
Released
October 15, 2025
August 13, 2026
Context window
200K (~300 pages)
1M (~1,573 pages)
Price (in/out)
$1/$5 per 1M tokens
$0.75/$3.75 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, image, audio, video, code
SWE-Bench Verified
73.3%
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Fastest Claude model: Claude Haiku 4.5 — Gemini 3.7 Flash is comparatively weak here — a fast 'workhorse,' not Google's top-intelligence model (Gemini 3.1 Pro is still the flagship)
Near-frontier coding for its tier — 73.3% on SWE-Bench Verified: Claude Haiku 4.5 — Gemini 3.7 Flash is comparatively weak here — trails GPT-5.6 Terra on the hardest repo-scale and terminal-agent coding
Low-latency, high-volume API calls: Claude Haiku 4.5 — Claude Haiku 4.5 lists low-latency, high-volume API calls among its strengths; Gemini 3.7 Flash does not.
Strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing: Gemini 3.7 Flash — Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it runs cheaper at $0.75/$3.75 per 1M tokens.
1M-token context with full multimodal input (text, image, audio, video): Gemini 3.7 Flash — Its 1M window holds about 5.2× more than Claude Haiku 4.5's 200K in a single prompt.
Built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra: Gemini 3.7 Flash — Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it carries the larger 1M context.
Lowest cost at scale: Gemini 3.7 Flash — At $0.75/$3.75 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input: Gemini 3.7 Flash — Its 1M window is about 5.2× larger than Claude Haiku 4.5's 200K, fitting roughly 1,573 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume: Gemini 3.7 Flash — At $0.75/$3.75 per 1M tokens it undercuts Claude Haiku 4.5, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases: Gemini 3.7 Flash — Larger 1M 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 strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing: Gemini 3.7 Flash — That is its strongest area.
Claude Haiku 4.5: where it fits
Anthropic's fastest, most compact model — built for speed and volume. Released October 15, 2025 by Anthropic, it is built for fastest Claude model, near-frontier coding for its tier — 73.3% on SWE-Bench Verified, low-latency, high-volume API calls, and cheapest Claude tier at $1/$5.
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 3.7 Flash: where it fits
Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. Released August 13, 2026 by Google, it is built for strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing, 1M-token context with full multimodal input (text, image, audio, video), built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra, and wins broad-coding and web-development benchmarks against GPT-5.6 Terra.
Its trade-offs: introductory pricing ($0.75/$3.75) reverts to $1.50/$7.50 on Jan 1, 2027, trails GPT-5.6 Terra on the hardest repo-scale and terminal-agent coding, a fast 'workhorse,' not Google's top-intelligence model (Gemini 3.1 Pro is still the flagship), and some benchmark gains are Google's own figures. At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Claude Haiku 4.5 and Gemini 3.7 Flash overlap enough that the right pick depends on your specific job. Gemini 3.7 Flash costs less per token; Gemini 3.7 Flash holds the larger context; and each leads in its own area — Claude Haiku 4.5 for fastest claude model, Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing. 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 3.7 Flash better for coding?
Public SWE-Bench figures are not available for Gemini 3.7 Flash, 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 3.7 Flash leans toward strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Haiku 4.5 or Gemini 3.7 Flash?
Gemini 3.7 Flash is cheaper — $1/$5 per 1M tokens vs $0.75/$3.75 per 1M tokens, roughly 1.3× apart on input.
Which has the bigger context window?
Gemini 3.7 Flash — 1M vs 200K, about 5.2× 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 3.7 Flash together?
Yes — a multi-model platform like LumiChats gives you Claude Haiku 4.5, Gemini 3.7 Flash 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 3.7 Flash?
Gemini 3.7 Flash — released August 13, 2026, about 10 months after Claude Haiku 4.5.
Claude Haiku 4.5 vs Gemini 3.7 Flash
Anthropic · US | Google · US · Updated June 2026
Quick verdict
Pick Claude Haiku 4.5 for fastest claude model or near-frontier coding for its tier — 73.3% on swe-bench verified. Pick Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing or 1m-token context with full multimodal input (text, image, audio, video). On a tight budget at scale, Gemini 3.7 Flash is the value pick.
Claude Haiku 4.5 (Anthropic) and Gemini 3.7 Flash (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 3.7 Flash is google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. They diverge most on price and context window — each quantified below from the models' real specs.
Key differences at a glance
▸Price: Gemini 3.7 Flash is about 1.3× cheaper on input ($0.75/$3.75 per 1M tokens vs $1/$5 per 1M tokens) — modest, but it adds up at steady volume.
▸Context window: Gemini 3.7 Flash holds 5.2× more — 1M (~1,573 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 3.7 Flash is the newer model by about 10 months (released August 13, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
Spec
Claude Haiku 4.5
Gemini 3.7 Flash
Provider
Anthropic (US)
Google (US)
Released
October 15, 2025
August 13, 2026
Context window
200K (~300 pages)
1M (~1,573 pages)
Price (in/out)
$1/$5 per 1M tokens
$0.75/$3.75 per 1M tokens
Open weight?
No — API only
No — API only
Modalities
text, image, code
text, image, audio, video, code
SWE-Bench Verified
73.3%
Not published
MRCR v2 @ 1M
Not published
Not published
Who wins what
Fastest Claude model
Claude Haiku 4.5
Gemini 3.7 Flash is comparatively weak here — a fast 'workhorse,' not Google's top-intelligence model (Gemini 3.1 Pro is still the flagship)
Near-frontier coding for its tier — 73.3% on SWE-Bench Verified
Claude Haiku 4.5
Gemini 3.7 Flash is comparatively weak here — trails GPT-5.6 Terra on the hardest repo-scale and terminal-agent coding
Low-latency, high-volume API calls
Claude Haiku 4.5
Claude Haiku 4.5 lists low-latency, high-volume API calls among its strengths; Gemini 3.7 Flash does not.
Strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing
Gemini 3.7 Flash
Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it runs cheaper at $0.75/$3.75 per 1M tokens.
1M-token context with full multimodal input (text, image, audio, video)
Gemini 3.7 Flash
Its 1M window holds about 5.2× more than Claude Haiku 4.5's 200K in a single prompt.
Built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra
Gemini 3.7 Flash
Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed — and it carries the larger 1M context.
Lowest cost at scale
Gemini 3.7 Flash
At $0.75/$3.75 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Largest single-prompt input
Gemini 3.7 Flash
Its 1M window is about 5.2× larger than Claude Haiku 4.5's 200K, fitting roughly 1,573 pages in one prompt.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Gemini 3.7 Flash
At $0.75/$3.75 per 1M tokens it undercuts Claude Haiku 4.5, and on millions of tokens that margin decides the monthly bill.
Someone analysing very long documents or codebases
→ Gemini 3.7 Flash
Larger 1M 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 strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing
→ Gemini 3.7 Flash
That is its strongest area.
Claude Haiku 4.5: where it fits
Anthropic's fastest, most compact model — built for speed and volume. Released October 15, 2025 by Anthropic, it is built for fastest Claude model, near-frontier coding for its tier — 73.3% on SWE-Bench Verified, low-latency, high-volume API calls, and cheapest Claude tier at $1/$5.
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 3.7 Flash: where it fits
Google's cheap, fast coding-and-agents workhorse - AA Index 56, a 1M context, and aggressive introductory pricing that beats GPT-5.6 Terra on value and speed. Released August 13, 2026 by Google, it is built for strong intelligence-per-dollar - Artificial Analysis Intelligence Index 56 at introductory $0.75/$3.75 pricing, 1M-token context with full multimodal input (text, image, audio, video), built for coding and agents, with roughly 3x faster output than GPT-5.6 Terra, and wins broad-coding and web-development benchmarks against GPT-5.6 Terra.
Its trade-offs: introductory pricing ($0.75/$3.75) reverts to $1.50/$7.50 on Jan 1, 2027, trails GPT-5.6 Terra on the hardest repo-scale and terminal-agent coding, a fast 'workhorse,' not Google's top-intelligence model (Gemini 3.1 Pro is still the flagship), and some benchmark gains are Google's own figures. At $0.75 in / $3.75 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
Claude Haiku 4.5 and Gemini 3.7 Flash overlap enough that the right pick depends on your specific job. Gemini 3.7 Flash costs less per token; Gemini 3.7 Flash holds the larger context; and each leads in its own area — Claude Haiku 4.5 for fastest claude model, Gemini 3.7 Flash for strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing. 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 3.7 Flash 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 3.7 Flash better for coding?
Public SWE-Bench figures are not available for Gemini 3.7 Flash, 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 3.7 Flash leans toward strong intelligence-per-dollar - artificial analysis intelligence index 56 at introductory $0.75/$3.75 pricing, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, Claude Haiku 4.5 or Gemini 3.7 Flash?
Gemini 3.7 Flash is cheaper — $1/$5 per 1M tokens vs $0.75/$3.75 per 1M tokens, roughly 1.3× apart on input.
Which has the bigger context window?
Gemini 3.7 Flash — 1M vs 200K, about 5.2× 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 3.7 Flash together?
Yes — a multi-model platform like LumiChats gives you Claude Haiku 4.5, Gemini 3.7 Flash 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 3.7 Flash?
Gemini 3.7 Flash — released August 13, 2026, about 10 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.