Model comparison
Claude Opus 4.7 vs Gemma 4 26B A4B
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: Claude Opus 4.7 supported; Gemma 4 26B A4B supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.7 and Gemma 4 26B A4B share 13 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to Claude Opus 4.7; 8 to Gemma 4 26B A4B.
Updated July 15, 2026- Shared results
- 13
- Claude Opus 4.7 only
- 9
- Gemma 4 26B A4B only
- 8
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.7 and Gemma 4 26B A4B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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.
Claude Opus 4.7 is priced at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 26B A4B. Claude Opus 4.7 has the larger context window at 1M, compared with 256K for Gemma 4 26B A4B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Opus 4.7 | Δ | Gemma 4 26B A4B |
|---|---|---|---|
| Knowledge | Claude Opus 4.7Not measured | MarginNo overlap | Gemma 4 26B A4B43.8 |
| Math | Claude Opus 4.738.6 | MarginNo overlap | Gemma 4 26B A4BNot measured |
| Multimodal | Claude Opus 4.7Not measured | MarginNo overlap | Gemma 4 26B A4B73.8 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.7 | Gemma 4 26B A4B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 output | Gemma 4 26B A4B$0 input / $0 output | Gemma 4 26B A4B has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.7Not available | Gemma 4 26B A4BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | Gemma 4 26B A4BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | Gemma 4 26B A4B256K | Claude Opus 4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Claude Opus 4.7 | Gemma 4 26B A4B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 74% | 43.6% | Claude Opus 4.7 leads |
| Gert LabsSource | 65.59% | — | Not comparable |
| ResearchClawBenchSource | 20.7% | — | Not comparable |
| OSWorld 2.0Source | 13.9% | — | Not comparable |
| AA Agentic IndexSource | — | 11.0% | Not comparable |
| GDPval-AASource | — | 13.1% | Not comparable |
| GDPval-AASource | — | 761 | Not comparable |
Coding6 benchmarks
| Benchmark | Claude Opus 4.7 | Gemma 4 26B A4B | Result |
|---|---|---|---|
| Vibe Code BenchSource | 71.00% | — | Not comparable |
| React Native EvalsSource | 82.8% | — | Not comparable |
| Terminal-Bench HardSource | 54.5% | 13.6% | Claude Opus 4.7 leads |
| AA-SciCodeSource | 50.1% | 40.0% | Claude Opus 4.7 leads |
| FrontierCodeSource | 38.5% | — | Not comparable |
| AA Coding IndexSource | — | 39.3% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Opus 4.7 | Gemma 4 26B A4B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.7% | 25.7% | Claude Opus 4.7 leads |
| AA-GPQA DiamondSource | 88.5% | 79.2% | Claude Opus 4.7 leads |
| AA-HLESource | 31.2% | 18.3% | Claude Opus 4.7 leads |
| AA-Omniscience IndexSource | 14.2% | -48.1% | Claude Opus 4.7 leads |
| AA-Omniscience AccuracySource | 43.5% | 18.2% | Claude Opus 4.7 leads |
| AA-Omniscience Hallucination RateSource | 51.9% | 80.9% | Claude Opus 4.7 leads |
| MMLU-ProSource | — | 82.6% | Not comparable |
| HLESource | — | 17.2% | Not comparable |
| HLE w/o toolsSource | — | 8.7% | Not comparable |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.7 | Gemma 4 26B A4B | Result |
|---|---|---|---|
| AA-IFBenchSource | 43.6% | 72.4% | Gemma 4 26B A4B leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.7 and Gemma 4 26B A4B 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 Opus 4.7 and Gemma 4 26B A4B today?
Claude Opus 4.7: $5.00 input / $25.00 output per 1M tokens Gemma 4 26B A4B: $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.
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