Gemma 4 31B vs Grok 4.1 Fast
Gemma 4 31B is the stronger all-around choice for most API use cases: it outscores Grok 4.1 Fast on tool calling (5 vs 4) and agentic planning (5 vs 4) while costing less — $0.38/M output tokens versus $0.50/M. Grok 4.1 Fast's one clear win is long context, scoring 5 vs Gemma 4 31B's 4, and its 2M token context window dwarfs Gemma 4 31B's 262K — a genuine differentiator for document-heavy workloads. Eight of 12 benchmarks end in a tie, so the decision largely comes down to context length needs and per-token budget.
Gemma 4 31B
Benchmark Scores
External Benchmarks
Pricing
Input
$0.130/MTok
Output
$0.380/MTok
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Grok 4.1 Fast
Benchmark Scores
External Benchmarks
Pricing
Input
$0.200/MTok
Output
$0.500/MTok
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Benchmark Analysis
Across our 12-test suite, Gemma 4 31B wins 3 benchmarks outright, Grok 4.1 Fast wins 1, and 8 are tied.
Where Gemma 4 31B wins:
- Tool calling (5 vs 4): Gemma 4 31B ties for 1st with 16 other models out of 54 tested; Grok 4.1 Fast ranks 18th of 54. For function selection, argument accuracy, and sequencing in agentic workflows, this is a real gap that compounds across multi-step pipelines.
- Agentic planning (5 vs 4): Gemma 4 31B ties for 1st with 14 other models out of 54; Grok 4.1 Fast ranks 16th. Goal decomposition and failure recovery — critical for autonomous agents — favor Gemma 4 31B.
- Safety calibration (2 vs 1): Both models score poorly here relative to the field (p50 is 2), but Gemma 4 31B ranks 12th of 55 vs Grok 4.1 Fast's 32nd of 55. This measures the balance between refusing harmful requests and permitting legitimate ones — Grok 4.1 Fast's score of 1 puts it at the bottom quartile.
Where Grok 4.1 Fast wins:
- Long context (5 vs 4): Grok 4.1 Fast ties for 1st with 36 other models out of 55; Gemma 4 31B ranks 38th of 55. For retrieval accuracy at 30K+ tokens, Grok 4.1 Fast is the better choice — and its 2M context window (vs Gemma 4 31B's 262K) makes this advantage structural, not just benchmark-deep.
Tied benchmarks (8 of 12): Both models score 5/5 on structured output, strategic analysis, multilingual, faithfulness, and persona consistency. Both score 4/4 on constrained rewriting and creative problem solving, and 4/4 on classification. On structured output and strategic analysis, both rank in the tied-for-1st group. These are genuine ties — neither model has a meaningful edge on JSON compliance, multilingual output quality, nuanced tradeoff reasoning, or creative ideation in our testing.
Pricing Analysis
Gemma 4 31B costs $0.13/M input and $0.38/M output. Grok 4.1 Fast costs $0.20/M input and $0.50/M output — 54% more expensive on input and 32% more on output. At 1M output tokens/month, that gap is $120 vs $500 — a $380 difference. At 10M output tokens/month, you're paying $3,800 vs $5,000. At 100M tokens/month, the delta reaches $12,000 annually. For most developers running moderate-to-high volume workloads without extreme context requirements, Gemma 4 31B delivers equivalent or better benchmark performance at meaningfully lower cost. Grok 4.1 Fast's premium is only worth paying if you genuinely need its 2M token context window — which Gemma 4 31B's 262K cannot match — or if you specifically need file input support (listed in Grok 4.1 Fast's modality but not Gemma 4 31B's).
Real-World Cost Comparison
Bottom Line
Choose Gemma 4 31B if: you are building agentic pipelines, tool-calling workflows, or multi-step automations — it scores 5 vs 4 on both tool calling and agentic planning in our tests. It also costs less ($0.38/M vs $0.50/M output), making it the default pick for high-volume API usage where context windows under 262K are sufficient. Its multimodal support (text, image, and video input) adds versatility.
Choose Grok 4.1 Fast if: your workload requires processing very long documents, full codebases, or extended conversation histories that exceed 262K tokens — its 2M context window is a hard capability advantage Gemma 4 31B cannot match. It also supports file input as a modality. Accept the higher price ($0.20/M input, $0.50/M output) only when that context window is genuinely necessary. Note that Grok 4.1 Fast uses reasoning tokens (a quirk in the payload), which can affect latency and cost in practice.
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.