Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Grok 4.20 0309 v2 (Non-reasoning) | Gemini 2.5 Flash (Reasoning) |
|---|---|---|
| Input ($/M tokens) | $1.25 | $0.3 |
| Output ($/M tokens) | $2.5 | $2.5 |
Verdict. Grok 4.20 0309 v2 (Non-reasoning) wins the overall benchmark matchup 1–0 across 1 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the budget bracket for output-token pricing. At 1.0× the per-million-token cost, Gemini 2.5 Flash (Reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Gemini 2.5 Flash (Reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Grok 4.20 0309 v2 (Non-reasoning) is strongest on Intelligence Index (22.2). Gemini 2.5 Flash (Reasoning) leads on Intelligence Index (20.3).
Speed. On throughput, Gemini 2.5 Flash (Reasoning) generates tokens at 225 tok/s versus 93 tok/s — about 59% faster. On time-to-first-token, Grok 4.20 0309 v2 (Non-reasoning) responds in 660ms vs 19090ms, which matters most for chat-style UIs.
Provider. SpaceXAI and Google sell to overlapping but distinct developer audiences: SpaceXAI tends to ship frontier reasoning models with premium positioning, while Google often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Grok 4.20 0309 v2 (Non-reasoning) costs $75.00 ($900/year); Gemini 2.5 Flash (Reasoning) costs $46.50 ($558/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Grok 4.20 0309 v2 (Non-reasoning) ≈ $11.25/run, Gemini 2.5 Flash (Reasoning) ≈ $6.50/run. At agent/realtime scale (200M input / 100M output per million requests): Grok 4.20 0309 v2 (Non-reasoning) ≈ $500/run, Gemini 2.5 Flash (Reasoning) ≈ $310/run. Gemini 2.5 Flash (Reasoning) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Gemini 2.5 Flash (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.85/M tokens vs $1.56/M for Grok 4.20 0309 v2 (Non-reasoning).
Grok 4.20 0309 v2 (Non-reasoning) wins 1 out of 12 benchmarks compared to 0 for Gemini 2.5 Flash (Reasoning). See the detailed benchmark chart above for per-category results.
Gemini 2.5 Flash (Reasoning) generates tokens faster at 225 tok/s vs 93 tok/s. Grok 4.20 0309 v2 (Non-reasoning) also has lower time-to-first-token (0.66s vs 19.09s).
Choose based on your priorities: Gemini 2.5 Flash (Reasoning) for lower cost, Grok 4.20 0309 v2 (Non-reasoning) for stronger benchmark performance, and Gemini 2.5 Flash (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.