Devstral Small 1.1 vs Grok Code Fast 1
For developer-facing, agentic coding and planning tasks, Grok Code Fast 1 is the practical winner: it wins 4 benchmarks (agentic planning, creative problem solving, strategic analysis, persona consistency) while tying on eight others. Devstral Small 1.1 matches Grok on structured output, classification, long-context and tool-calling but is far cheaper — expect a major price-vs-quality tradeoff if you need Grok’s planning/creativity edges.
mistral
Devstral Small 1.1
Benchmark Scores
External Benchmarks
Pricing
Input
$0.100/MTok
Output
$0.300/MTok
modelpicker.net
xai
Grok Code Fast 1
Benchmark Scores
External Benchmarks
Pricing
Input
$0.200/MTok
Output
$1.50/MTok
modelpicker.net
Benchmark Analysis
Across our 12-test suite (scores 1–5): Grok Code Fast 1 wins in agentic planning (5 vs 2), creative problem solving (3 vs 2), strategic analysis (3 vs 2) and persona consistency (4 vs 2). Devstral Small 1.1 does not outright win any benchmark. They tie on structured output (4/4), constrained rewriting (3/3), tool calling (4/4), faithfulness (4/4), classification (4/4), long context (4/4), safety calibration (2/2) and multilingual (4/4). Context and rank context: Grok’s agentic planning score ties for 1st of 54 models (tied with 14 others) while Devstral ranks 53 of 54 for that metric — a practical difference for workflows that require robust goal decomposition and recovery. Both models tie for classification at the top (tied for 1st with 29 others), and both rank similarly on structured output (rank 26 of 54). For real tasks: expect identical results for schema/format adherence, classification routing, long-context retrieval (both score 4), and comparable safety calibration (both score 2). Choose Grok when you need stronger planning, stepwise reasoning, and creative idea generation; choose Devstral when you need the same baseline capabilities at far lower per-token cost.
Pricing Analysis
Per the payload: Devstral Small 1.1 charges $0.10 input and $0.30 output per mTok; Grok Code Fast 1 charges $0.20 input and $1.50 output per mTok. Using a 50/50 input/output split as an example: 1M tokens/month = 1,000 mTok → Devstral ≈ $200/month (500*$0.10 + 500*$0.30); Grok ≈ $850/month (500*$0.20 + 500*$1.50). At 10M tokens/month: Devstral ≈ $2,000 vs Grok ≈ $8,500. At 100M tokens/month: Devstral ≈ $20,000 vs Grok ≈ $85,000. If your workload is output-heavy, the gap widens (e.g., 1M output-only tokens = Devstral $300 vs Grok $1,500). Who should care: high-volume deployments, startups on budgets, or ML infra teams — a switch to Grok can increase monthly model spend by tens of thousands at scale; single-developer or low-volume projects may accept Grok’s premium for better planning/creative outputs.
Real-World Cost Comparison
Bottom Line
Choose Devstral Small 1.1 if you need cost-efficient, reliable structured output, classification, tool-calling and long-context work at $0.10 input / $0.30 output per mTok. Choose Grok Code Fast 1 if you require stronger agentic planning, creative problem solving and persona consistency (agentic planning 5 vs 2) and the larger 256k context window, and you can absorb the higher output cost ($1.50 per mTok). If budget is tight or you run >10M tokens/month, Devstral’s price advantage is decisive; if your product depends on planning/creative reasoning, Grok’s performance edge matters despite the cost.
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.