Model comparison
Claude Haiku 4.5 vs Gemini 3.6 Flash
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); Gemini 3.6 Flash unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 and Gemini 3.6 Flash share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Claude Haiku 4.5; 19 to Gemini 3.6 Flash.
Updated July 21, 2026- Shared results
- 0
- Claude Haiku 4.5 only
- 5
- Gemini 3.6 Flash only
- 19
- Comparable categories
- 0 / 8
Benchmark data for Claude Haiku 4.5 and Gemini 3.6 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Gemini 3.6 Flash is priced at $1.50 input / $7.50 output per 1M tokens, versus $1.00 input / $5.00 output per 1M tokens for Claude Haiku 4.5. Gemini 3.6 Flash has the larger context window at 1M, compared with 200K for Claude Haiku 4.5.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 | Gemini 3.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5$1 input / $5 output | Gemini 3.6 Flash$1.5 input / $7.5 output | Claude Haiku 4.5 has the lower combined listed price. |
| Generation speedtokens per second | Claude Haiku 4.5Not available | Gemini 3.6 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5Not available | Gemini 3.6 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5200K | Gemini 3.6 Flash1M | Gemini 3.6 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Haiku 4.5 | Gemini 3.6 Flash | Result |
|---|---|---|---|
| JobBenchSource | 16.0% | — | Not comparable |
| OSWorld-VerifiedSource | — | 83% | Not comparable |
| GDPval-AASource | — | 1421 | Not comparable |
| AA Agentic IndexSource | — | 38.7% | Not comparable |
| GDPval-AASource | — | 46.1% | Not comparable |
| AA BriefcaseSource | — | 961 | Not comparable |
| AA Tau3 BankingSource | — | 24.5% | Not comparable |
| aaTerminalBench21Source | — | 77.5% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude Haiku 4.5 | Gemini 3.6 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 50.1% | Not comparable |
| AA-GPQA DiamondSource | — | 92.8% | Not comparable |
| AA-HLESource | — | 38.3% | Not comparable |
| AA-Omniscience IndexSource | — | 23.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 50.2% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 53.5% | Not comparable |
Math2 benchmarks
Frequently Asked Questions (3)
Can I compare Claude Haiku 4.5 and Gemini 3.6 Flash on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Haiku 4.5 and Gemini 3.6 Flash today?
Claude Haiku 4.5: $1.00 input / $5.00 output per 1M tokens Gemini 3.6 Flash: $1.50 input / $7.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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