Cheapest blockchain to deploy a token, live USD cost across 7 non-EVM L1 chains
BlockchainsInjective
Trails$0.5580
- p99
- $0.5777
- rank
- #6
- samples
- 20,160
Osmosis
Leads$0.00114
- p99
- $0.00116
- rank
- #1
- samples
- 20,160
Injective vs Osmosis
Osmosis leads on the only live benchmark. Osmosis wins on Cheapest blockchain to deploy a token, live USD cost across 7 non-EVM L1 chains ($0.00114 vs $0.5580).
Injective
Cosmos SDK L1 with a native onchain orderbook and EVM compatibility layer. CometBFT consensus, sub-second block time, deterministic finality per block. TokenFactory MsgCreateDenom carries a flat 0.1 INJ governance fee on top of gas.
Osmosis
Cosmos SDK appchain and the largest IBC-connected DEX. CometBFT consensus with deterministic finality per block, around 6-second block time. TokenFactory module exposes MsgCreateDenom with denom_creation_fee currently set to an empty list, so creating a new denom costs only gas.
Side by side measurements
Fastest Axelar GMP source chain by end-to-end delivery
BridgesInjective
No data in window
Osmosis
Trails47.02 s
- p99
- 2.0 min
- rank
- #4
- samples
- 152
Frequently asked questions
Injective vs Osmosis: which one is better?
Injective and Osmosis are compared on 2 shared OpenChainBench benchmarks. Osmosis leads on Cheapest blockchain to deploy a token, live USD cost across 7 non-EVM L1 chains. See the live table on this page for every metric.
Which is cheaper, Injective or Osmosis?
On the Cheapest blockchain to deploy a token, live USD cost across 7 non-EVM L1 chains benchmark, Osmosis leads at $0.00114 versus Injective at $0.5580. Live measurement is updated continuously by the OpenChainBench harness.
How is the Injective vs Osmosis comparison measured?
Every benchmark on this page uses the same open methodology, published at https://openchainbench.com/methodology. Data is CC-BY-4.0. Measurement harnesses are MIT-licensed.
How this pair was selected
Auto-generated pairs require: both providers in the same benchmark for seven consecutive days, at least 1000 samples per provider, observable third-party search demand, and a public /products/[slug] page on OCB. Editorially curated pairs (like this one) may publish early when search demand is high and data is accruing — panels with fewer than 100 samples are shown as provisional. The full pair ledger is versioned in the public repo.