Claude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MPaLM 2 Bison$0.500/MPaLM 2 Unicorn$5.000/MGemma 3 27B$0.270/MGrok 3$6.600/MGrok 2$4.400/MGrok 1.5$8.000/MDeepSeek-V3$0.519/MDeepSeek-V3-0324$0.519/MDeepSeek-R1$1.042/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MPaLM 2 Bison$0.500/MPaLM 2 Unicorn$5.000/MGemma 3 27B$0.270/MGrok 3$6.600/MGrok 2$4.400/MGrok 1.5$8.000/MDeepSeek-V3$0.519/MDeepSeek-V3-0324$0.519/MDeepSeek-R1$1.042/M
BETA
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EfficientLIVE INDEX

Grok 3 Mini Beta

text->text

Cheap Grok 3 sibling. Same X firehose access, smaller model behind it — good for cost-sensitive social-media tooling.

Profile inherited from upstream Grok 3 Mini — this is a hosted variant of the same open-weights model.

INPUT
$0.300/M
per million input tokens
OUTPUT
$0.500/M
per million output tokens
BLENDED 70/30
$0.360/M
default reference rate
CONTEXT
131K
131,072 tokens
What it's good at
  • Cheap
  • Real-time X data
  • Lower latency than full Grok 3
Typical use cases
  • Bulk social-media analysis
  • Cheap Grok-style chat
Benchmarks
vs. best public score
Scores inherited from Grok 3 Mini — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU79%
Multitask academic knowledge across 57 subjects.
GPQA Diamond64%
Graduate-level science questions, "Google-proof".
MATH81%
High-school competition math problems.
HumanEval78%
Python function synthesis from docstrings.
LMArena Elo1265 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
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