Model comparison
Grok 4.3 vs SWE-1.7
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: Grok 4.3 #31 (Supported); SWE-1.7 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Grok 4.3 and SWE-1.7 share 0 comparable benchmark results. 0 of 8 categories are comparable. 25 results are unique to Grok 4.3; 4 to SWE-1.7.
Updated July 18, 2026- Shared results
- 0
- Grok 4.3 only
- 25
- SWE-1.7 only
- 4
- Comparable categories
- 0 / 8
Benchmark data for Grok 4.3 and SWE-1.7 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.
Grok 4.3 has the larger context window at 1M, compared with 256K for SWE-1.7.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok 4.3 | SWE-1.7 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok 4.3$1.25 input / $2.5 output | SWE-1.7Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Grok 4.3209 tok/s | SWE-1.7Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Grok 4.312.36 s | SWE-1.7Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Grok 4.31M | SWE-1.7256K | Grok 4.3 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Grok 4.3 | SWE-1.7 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 97.7% | — | Not comparable |
| GDPval-AASource | 29.2% | — | Not comparable |
| AA Agentic IndexSource | 24.1% | — | Not comparable |
| APEX-Agents-AASource | 17.0% | — | Not comparable |
| GDPval-AASource | 1085 | — | Not comparable |
| Gert LabsSource | 43.86% | — | Not comparable |
| ResearchClawBenchSource | 12.4% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 81.5% | Not comparable |
Coding6 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Grok 4.3 | SWE-1.7 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 37.6% | — | Not comparable |
| GPQASource | 90.1% | — | Not comparable |
| HLESource | 35% | — | Not comparable |
| AA-Omniscience AccuracySource | 34.6% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 25.0% | — | Not comparable |
| AA-GPQA DiamondSource | 90.1% | — | Not comparable |
| AA-HLESource | 35.0% | — | Not comparable |
| AA-Omniscience IndexSource | 18.3% | — | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (3)
Can I compare Grok 4.3 and SWE-1.7 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 Grok 4.3 and SWE-1.7 today?
Grok 4.3: $1.25 input / $2.50 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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