xAI Grok 4.7 vs Qwen 3.8 Max (0902)
Empirical evaluation across autonomous coding benchmarks (SWE-bench Verified, LiveCodeBench), token economics, and multi-agent topology in Swarm.
For autonomous agentic coding where multi-file patch pass rate is paramount, xAI Grok 4.7 holds the verified advantage (+0.8% advantage). Qwen 3.8 Max (0902) is 3.75x cheaper on input tokens ($0.8/M vs $3/M). In Swarm multi-agent clusters, Both models sit in Tier 1 (Tier 1: Algorithmic Reasoning Specialist). Excellent peer redundancy or parallel Coder swarm execution.
xAI Grok 4.7
Primary / PlannerQwen 3.8 Max (0902)
Primary / PlannerStandardized Coding & Reasoning Benchmarks
Verified, contamination-free benchmark scores with direct mathematical deltas.
| Benchmark Metric | xAI Grok 4.7 | Qwen 3.8 Max (0902) | Performance Delta |
|---|---|---|---|
| SWE-bench VerifiedReal-world GitHub issues resolved autonomously | 73.6% | 72.8% | xAI Grok 4.7 (+0.8% advantage) |
| LiveCodeBenchPost-training cutoff algorithmic challenges | 64.9% | 64% | xAI Grok 4.7 (+0.9% advantage) |
| LMSYS Coding EloCrowdsourced blind developer preference | 1408 | 1402 | xAI Grok 4.7 (+6Elo advantage) |
| AIME (Competition Math)Deep multi-step deductive reasoning | — | — | Not published for both models |
Token Economics & Operational Cost Ratio
Pricing per 1M tokens and prompt caching advantages for long-horizon sessions.
Qwen 3.8 Max (0902) is 3.75x cheaper on input tokens ($0.8/M vs $3/M).
Output generation costs differ by 3.75x.
Prompt caching significantly reduces long-horizon AST parsing costs during multi-turn Swarm pairing sessions.
Swarm Multi-Agent Topology Synergy
How Swarm orchestrates xAI Grok 4.7 and Qwen 3.8 Max (0902) in autonomous engineering clusters.
xAI Grok 4.7
Recommended: Primary / Planner
Excels at decomposing algorithmic challenges and mathematical verification stages.
Qwen 3.8 Max (0902)
Recommended: Primary / Planner
Reliable planner for enterprise polyglot repositories.
When to Choose Which Model
Practical developer recommendations based on real-world engineering workloads.
Choose xAI Grok 4.7 if:
- ✓Outstanding 52 score on Finance & Accounting Index
- ✓Deep mathematical deduction and formal logic verification
- ✓Clean C/C++, Rust, and low-level systems code synthesis
- ✓Need Primary / Planner specialization inside Swarm.
Choose Qwen 3.8 Max (0902) if:
- ✓Intelligence Index 45 with low $0.80 cost per task
- ✓Exceptional multilingual code and docstring comprehension
- ✓Clean diff generation with zero hallucinated package dependencies
- ✓Need Primary / Planner specialization inside Swarm.
Frequently Asked Comparison Questions
Which model is better for autonomous software engineering: xAI Grok 4.7 or Qwen 3.8 Max (0902)?
For autonomous agentic coding where multi-file patch pass rate is paramount, xAI Grok 4.7 holds the verified advantage (+0.8% advantage). Qwen 3.8 Max (0902) is 3.75x cheaper on input tokens ($0.8/M vs $3/M). In Swarm multi-agent clusters, Both models sit in Tier 1 (Tier 1: Algorithmic Reasoning Specialist). Excellent peer redundancy or parallel Coder swarm execution. On SWE-bench Verified, xAI Grok 4.7 scores 73.6% vs Qwen 3.8 Max (0902) at 72.8%.
How do xAI Grok 4.7 and Qwen 3.8 Max (0902) compare on token pricing and operational economics?
Qwen 3.8 Max (0902) is 3.75x cheaper on input tokens ($0.8/M vs $3/M). On cached prompts, xAI Grok 4.7 costs $0.3/M vs Qwen 3.8 Max (0902) at $0.15/M.
How does Swarm configure xAI Grok 4.7 and Qwen 3.8 Max (0902) in multi-agent workflows?
Both models sit in Tier 1 (Tier 1: Algorithmic Reasoning Specialist). Excellent peer redundancy or parallel Coder swarm execution. Swarm isolates code modifications in independent Git worktrees, allowing both models to operate in parallel without colliding working directories or git branch conflicts.