Model comparison
Command A+ vs Gemini 2.5 Pro
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Command A+ #135 (Estimated); Gemini 2.5 Pro #70 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Command A+ and Gemini 2.5 Pro share 16 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Command A+; 8 to Gemini 2.5 Pro.
Updated July 23, 2026- Shared results
- 16
- Command A+ only
- 5
- Gemini 2.5 Pro only
- 8
- Comparable categories
- 0 / 8
Benchmark data for Command A+ and Gemini 2.5 Pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 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.
Gemini 2.5 Pro has the larger context window at 1M, compared with 128K for Command A+.
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 | Command A+ | Δ | Gemini 2.5 Pro |
|---|---|---|---|
| Coding | Command A+Not measured | MarginNo overlap | Gemini 2.5 Pro63.8 |
| Knowledge | Command A+Not measured | MarginNo overlap | Gemini 2.5 Pro27.4 |
| Math | Command A+Not measured | MarginNo overlap | Gemini 2.5 Pro11.6 |
| Multimodal | Command A+59.3 | MarginNo overlap | Gemini 2.5 ProNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Command A+ | Gemini 2.5 Pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Command A+$2.5 input / $10 output | Gemini 2.5 Pro$1.25 input / $10 output | Gemini 2.5 Pro has the lower combined listed price. |
| Generation speedtokens per second | Command A+272 tok/s | Gemini 2.5 Pro117 tok/s | Command A+ has the higher measured throughput. |
| First-answer latencyseconds to first token | Command A+0.25 s | Gemini 2.5 Pro21.19 s | Command A+ reaches the first token sooner. |
| Context windowmaximum listed tokens | Command A+128K | Gemini 2.5 Pro1M | Gemini 2.5 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Command A+ | Gemini 2.5 Pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 22.5% | 25.8% | Gemini 2.5 Pro leads |
| AA-GPQA DiamondSource | 76.1% | 84.4% | Gemini 2.5 Pro leads |
| AA-HLESource | 11.4% | 21.1% | Gemini 2.5 Pro leads |
| AA-Omniscience IndexSource | -4.0% | -14.3% | Command A+ leads |
| AA-Omniscience AccuracySource | 8.9% | 39.0% | Gemini 2.5 Pro leads |
| AA-Omniscience Hallucination RateSource | 14.1% | 87.4% | Command A+ leads |
| AA Openness IndexSource | 38.9% | — | Not comparable |
| GPQASource | — | 83% | Not comparable |
| HLESource | — | 18.8% | Not comparable |
Math2 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Command A+ | Gemini 2.5 Pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 73.9% | 48.7% | Command A+ leads |
Frequently Asked Questions (3)
Can I compare Command A+ and Gemini 2.5 Pro 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 Command A+ and Gemini 2.5 Pro today?
Command A+: $2.50 input / $10.00 output per 1M tokens Gemini 2.5 Pro: $1.25 input / $10.00 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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