GPT-4o vs Grok Code Fast 1
For most developer and high-volume coding use cases pick Grok Code Fast 1: it wins more benchmarks (3 of 12) and is dramatically cheaper. Choose GPT-4o when multimodal inputs or persona consistency matter — but expect a large price premium.
openai
GPT-4o
Benchmark Scores
External Benchmarks
Pricing
Input
$2.50/MTok
Output
$10.00/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 Grok Code Fast 1 wins 3 benchmarks (agentic planning, safety calibration, strategic analysis) while GPT-4o wins 1 (persona consistency); the remaining 8 tests are ties. Specifics: - Agentic planning: Grok scores 5 vs GPT-4o's 4; Grok ranks 'tied for 1st with 14 other models out of 54' for agentic planning, so it’s a top-tier choice for goal decomposition and recovery. - Safety calibration: Grok scores 2 vs GPT-4o's 1; Grok's safety calibration ranking is 'rank 12 of 55 (20 models share this score)' vs GPT-4o 'rank 32 of 55 (24 models share this score)', indicating Grok more reliably refuses harmful requests in our tests. - Strategic analysis: Grok scores 3 vs GPT-4o's 2; Grok's rank is 'rank 36 of 54' while GPT-4o is 'rank 44 of 54', so Grok better handles nuanced tradeoff reasoning with numbers. - Persona consistency: GPT-4o wins (score 5 vs Grok's 4) and is 'tied for 1st with 36 other models out of 53 tested', meaning GPT-4o better maintains character and resists injection in our runs. - Ties (both models score the same): structured output (4), constrained rewriting (3), creative problem solving (3), tool calling (4), faithfulness (4), classification (4), long context (4), multilingual (4). For example, both score 4 on tool calling and rank 'rank 18 of 54 (29 models share this score)', so you can expect similar function selection and sequencing accuracy. External benchmarks (supplementary data from Epoch AI in the payload): GPT-4o scores 31% on SWE-bench Verified (Epoch AI), 53.3% on MATH Level 5, and 6.4% on AIME 2025 — these external results add context for coding and math performance but do not override our internal wins/ties.
Pricing Analysis
Raw per-token prices from the payload: GPT-4o charges $2.5 input / $10 output per mTok; Grok Code Fast 1 charges $0.2 input / $1.5 output per mTok. If you treat 1M tokens as 1,000 mToks, a balanced 50/50 input-output workload costs roughly $12,500/month on GPT-4o vs $1,700/month on Grok for 1M tokens. At 10M tokens those totals scale to ~$125,000 vs ~$17,000; at 100M tokens ~$1,250,000 vs ~$170,000. If you only compare output token spend, GPT-4o's $10/mTok vs Grok's $1.5/mTok is a 6.67× gap (priceRatio = 6.6667 in the payload). High-volume apps, startups, or SaaS products with heavy generation should care deeply about Grok's lower unit cost; teams needing multimodal inputs or specific persona behavior may accept GPT-4o's higher bill for those capabilities.
Real-World Cost Comparison
Bottom Line
Choose Grok Code Fast 1 if: you build cost-sensitive, high-volume applications (Grok input/output $0.2/$1.5) or need top-tier agentic planning and better safety calibration in our tests. Choose GPT-4o if: you require multimodal inputs (text+image+file->text) or the strongest persona consistency in our testing, and you can accept a materially higher bill (GPT-4o input/output $2.5/$10). If you need balanced structured output, tool calling, long-context retrieval or classification, both models performed similarly on our 12-test suite.
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.