Model comparison
Claude Haiku 4.5 Thinking vs Gemma 4 31B
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 Thinking unranked (Not scored); Gemma 4 31B #43 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 Thinking and Gemma 4 31B share 0 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Haiku 4.5 Thinking; 29 to Gemma 4 31B.
Updated July 23, 2026- Shared results
- 0
- Claude Haiku 4.5 Thinking only
- 2
- Gemma 4 31B only
- 29
- Comparable categories
- 0 / 8
Benchmark data for Claude Haiku 4.5 Thinking and Gemma 4 31B 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.
Gemma 4 31B has the larger context window at 256K, compared with 200K for Claude Haiku 4.5 Thinking.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 Thinking | Gemma 4 31B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5 ThinkingNot available | Gemma 4 31B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Haiku 4.5 ThinkingNot available | Gemma 4 31BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5 ThinkingNot available | Gemma 4 31BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5 Thinking200K | Gemma 4 31B256K | Gemma 4 31B lists the larger context window. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Gemma 4 31B | Result |
|---|---|---|---|
| AA Agentic IndexSource | — | 14.4% | Not comparable |
| τ²-bench resultsSource | — | 59.9% | Not comparable |
| GDPval-AASource | — | 15.2% | Not comparable |
| GDPval-AASource | — | 804 | Not comparable |
| Gert LabsSource | — | 35.26% | Not comparable |
| AA EnterpriseOps-GymSource | — | 28.3% | Not comparable |
| AA ITBenchSource | — | 37.3% | Not comparable |
| AA Tau3 BankingSource | — | 15.1% | Not comparable |
| terminalBenchHardSource | — | 36.4% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge11 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Gemma 4 31B | Result |
|---|---|---|---|
| GPQASource | — | 84.3% | Not comparable |
| MMLU-ProSource | — | 85.2% | Not comparable |
| HLESource | — | 26.5% | Not comparable |
| HLE w/o toolsSource | — | 19.5% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 29.4% | Not comparable |
| AA-GPQA DiamondSource | — | 85.7% | Not comparable |
| AA-HLESource | — | 22.7% | Not comparable |
| AA-Omniscience IndexSource | — | -45.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 19.9% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 81.6% | Not comparable |
| AA Openness IndexSource | — | 38.9% | Not comparable |
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Gemma 4 31B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.6% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Haiku 4.5 Thinking and Gemma 4 31B 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 Thinking and Gemma 4 31B today?
Gemma 4 31B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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