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Data

Data as of October 23, 2026 · How the score is built

Superseded.Inception has newer models in this line:Mercury 3
SupersededProprietaryReasoning

Released Sep 8, 2026260K context

Mercury 2.5 model card

Decision readingMercury 2.5 is Inception’s September 8, 2026 diffusion reasoning release. It has 260K context and launch rates of $0.04 per million input tokens and $0.15 per million output tokens. Inception reports 79% on GPQA Diamond and 77% on IFBench. These are provider-reported results, with the source linked beside each row.

Released Sep 8, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

33.4/100

field median 49.9#170 of 228 ranked models

Public

#170of 228

Verified —

Price

$0.040input / $0.15 output

input median $0.75cached $0.004 · blended $0.095

Speed

742tok/s

field median 93 tok/sFirst token 3.59 s

Context

260Ktokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Instruction Following ranks #60. A well-rounded choice across a range of tasks.

Validate before choosing

6 published rows leave some tracked benchmark slots empty. Knowledge is its lowest eligible category at #139.

Source-linked · 6 displayable benchmark rows

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #123 of 132Percentile 7thWeight 22%3 benchmarksVerified
12.0
CodingRank #133 of 153Percentile 13thWeight 20%1 benchmarkVerified
16.1
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank #139 of 187Percentile 26thWeight 12%1 benchmarkVerified
33.8
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingRank #60 of 153Percentile 61stWeight 5%1 benchmarkVerified
81.1
MathWeight 5%0 benchmarksNot measured
Not measured

6 of 764 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic3/3 verified
  2. Coding1/1 verified
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. Knowledge1/1 verified
  6. MultilingualNot measured
  7. Inst. Following1/1 verified
  8. MathNot measured
Verified sourceProvisionalNot measured

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Mercury 2.5 category percentile values

  • Agentic7th percentile
  • Coding13th percentile
  • ReasoningNot eligible
  • MultimodalNot eligible
  • Knowledge26th percentile
  • MultilingualNot eligible
  • Instruction following61st percentile
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#123/132
  2. Coding#133/153
  3. ReasoningNot ranked
  4. MultimodalNot ranked
  5. Knowledge#139/187
  6. MultilingualNot ranked
  7. Inst. Following#60/153
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding1 row
Coding benchmark values, best verified comparison, weight, and source status
SciCodeScientific Code BenchmarkScore38%Versus best verified row

Best verified: Sakana Fugu · 60.1%

Gap22.1 behindWeight10% ref. weight
Agentic3 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI runScore34.5%Versus best verified row

Best verified: GPT-6 Astra · 87.3%

Gap52.8 behindWeight4% ref. weight
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore96.0%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

GapBest verifiedWeight2% ref. weight
DeepSearchQAScore34.0%Versus best verified row

Best verified: Atria Dawn Preview · 96.0%

Gap62 behindWeight2% ref. weight
Knowledge1 row
Knowledge benchmark values, best verified comparison, weight, and source status
GPQA-DGPQA DiamondScore79.0%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap17 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore77%Versus best verified row

Best verified: Flint · 89.2%

Gap12.2 behindWeightWeighted 70%

Bars run 0–100; the dark tick marks the best source-verified value

All 6 rows

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Current modelExplore all models

Mercury 2.5 · 33.4 score · $0.095 blended per million tokens

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

2030405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierMercury 2.5

Horizontal: blended price per million tokens, log scale · Vertical: public score

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Feb 24, 2026

    Mercury 2

    Score 33.1 · $0.25 / $0.75

  2. Sep 8, 2026 · you are here

    Mercury 2.5

    Score 33.4 · $0.04 / $0.15

  3. Oct 19, 2026

    Mercury 3

    Not publicly ranked · $0.1 / $0.35

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Available through the Inception API as `mercury-2.5`, with 260K context, tunable reasoning, parallel tool calls, and schema-aligned JSON. The launch also lists Baseten and OpenRouter access.
Cloud regions
Not tracked yet
Lifecycle
Superseded
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.004 per million cached input tokensInception models and Mercury 2.5 launch pricing
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Mercury 2.5 ranks #170 of 228 on the public leaderboard with a score of 33.38/100. It does not yet have enough sourced coverage for a verified position.

Mercury 2.5 is a proprietary model with a 260K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Available through the Inception API as `mercury-2.5`, with 260K context, tunable reasoning, parallel tool calls, and schema-aligned JSON. The launch also lists Baseten and OpenRouter access.

Inception released Mercury 2.5 on September 8, 2026. The launch chart supplies provider-reported GPQA Diamond, IFBench, long-context reasoning, SciCode, DeepSearchQA at ten tool calls, Omniscience accuracy and non-hallucination, and Tau3Bench Telecom results. TerminalBench lacks a version; the GDPval bar uses an unexplained percentage scale. Neither is mapped. Benchmark values are separate from Mercury 2 and Mercury 2.5 Preview.

Mercury 2.5 sits in the Mercury 2.5 family with Mercury 2.5 Preview. Its explicit predecessor is Mercury 2. 6 of 764 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Instruction Following at #60, while its lowest eligible position is Knowledge at #139. a well-rounded choice across a range of tasks.

Model research

The launch rates are temporary

The models page lists standard rates of $0.20 per million input tokens, $0.02 per million cached input tokens, and $0.75 per million output tokens. The 80% launch discount reduces them to $0.04, $0.004, and $0.15. Inception does not state an end date on that page.

The first-party quick start uses the API model ID mercury-2.5. Mercury 2.5 supports adjustable reasoning, parallel tool calls, and JSON constrained to a schema. Mercury 2 remains supported for existing customers.

What the launch chart establishes

Inception reports 79% on GPQA Diamond, 77% on IFBench, and 38% on SciCode. The chart also reports 34% on DeepSearchQA with a ten-tool-call budget. These values belong to Mercury 2.5 and are not copied to Mercury 2 or the earlier Preview record.

The chart’s 96% Tau3Bench result is labeled Telecom in its source note. It should not be compared directly with the older Mercury 2 Banking result. Its TerminalBench bar does not identify a benchmark version, so we leave that result outside the versioned ledger until the setup is documented.

Measure the complete request

Inception reports 1,107 output tokens per second on NVIDIA GPUs. That is a provider throughput claim, separate from the hosted runtime measurements. It does not establish time to first token or the full response latency of a voice application.

Mercury Voice and Mercury Router were announced as separate previews. Their latency and routing claims do not become Mercury 2.5 specifications.

Last updated October 23, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Where to run Mercury 2.5 by API

OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on October 20, 2026.

Inference hosts for Mercury 2.5 with input, output and cached-input prices per million tokens.
HostInput /1MOutput /1MCached /1MContext
OpenRouter$0.04$0.15$0.004260K
Compare inference hosts

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