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Data

Data as of October 19, 2026 · How the score is built

Mercury 3

Decision readingMercury 3 is Inception's October 19, 2026 diffusion reasoning model, with a 1M-token context and API model ID mercury-3. Launch pricing is $0.10 per million input tokens and $0.35 per million output tokens. Its eight mapped launch results use medium reasoning and remain provider-reported, display-only evidence.

Released Oct 19, 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

Unranked

field median 50Not eligible for a public rank

Price

$0.10input / $0.35 output

input median $0.75cached $0.010 · blended $0.22

Speed

Not measured

field median 94 tok/sTime to first token not measured

Context

1Mtokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

8 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Source-linked · 8 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
AgenticWeight 22%3 benchmarksVerified
Score pending
CodingWeight 20%1 benchmarkVerified
Score pending
ReasoningRank Not rankedWeight 17%1 benchmarkVerified
68.9
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeWeight 12%1 benchmarkVerified
Score pending
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingRank Not rankedWeight 5%2 benchmarksVerified
80.7
MathWeight 5%0 benchmarksNot measured
Not measured

8 of 686 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. Reasoning1/1 verified
  4. MultimodalNot measured
  5. Knowledge1/1 verified
  6. MultilingualNot measured
  7. Inst. Following2/2 verified
  8. MathNot measured
Verified sourceProvisionalNot measured

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
DeepSWEScore46.3%Versus best verified row

Best verified: Muse Wonder Full · 79.0%

Gap32.7 behindWeightDisplay only
Agentic3 rows
Agentic benchmark values, best verified comparison, weight, and source status
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore30.2%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap65.8 behindWeightDisplay only
DeepSearchQAScore71.3%Versus best verified row

Best verified: Atria Dawn Preview · 96.0%

Gap24.7 behindWeightDisplay only
BrowseComp+BrowseComp-PlusScore55.18%Versus best verified row

Best verified: Mercury 3 · 55.18%

GapBest verifiedWeightDisplay only
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
MRCRv2Score75.5%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.6%

Gap18.1 behindWeightDisplay only
Knowledge1 row
Knowledge benchmark values, best verified comparison, weight, and source status
GPQA-DGPQA DiamondScore89.2%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap6.8 behindWeightDisplay only
Inst. Following2 rows
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore76.8%Versus best verified row

Best verified: MAI-Thinking-1 · 85%

Gap8.2 behindWeightDisplay only
MultiChallenge (provider reports)MultiChallenge: provider-reported runsScore60.35%Versus best verified row

Best verified: Mercury 3 · 60.35%

GapBest verifiedWeightDisplay only

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

All 8 rows

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 33.7 · $0.25 / $0.75

  2. Sep 8, 2026

    Mercury 2.5

    Score 34.0 · $0.04 / $0.15

  3. Oct 19, 2026 · you are here

    Mercury 3

    Not publicly ranked · $0.1 / $0.35

Base entry

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-3 with a 1M-token context. Inception also announces OpenRouter, Baseten, and Vercel access; the OpenRouter public model list had not listed the exact route when reviewed on October 19, 2026. First-party launch pricing is 50% off: $0.10/M input, $0.01/M cached input, and $0.35/M output, with no stated promotion end date.
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.010 per million cached input tokensInception Mercury 3 models page and 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.

We track Mercury 3, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Mercury 3 is a proprietary model with a 1M 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-3 with a 1M-token context. Inception also announces OpenRouter, Baseten, and Vercel access; the OpenRouter public model list had not listed the exact route when reviewed on October 19, 2026. First-party launch pricing is 50% off: $0.10/M input, $0.01/M cached input, and $0.35/M output, with no stated promotion end date.

Its explicit predecessor is Mercury 2.5. 8 of 686 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Model research

The chart uses medium reasoning

Inception reports 89.23 on GPQA Diamond, 76.84 on IFBench, 60.35 on MultiChallenge, 75.50 on MRCR v2, and 46.31 on DeepSWE v1. Its agent results are 30.24 on tau3-bench Banking, 55.18 on BrowseComp+, and 71.33 on DeepSearchQA.

The chart does not disclose exact harness revisions, trial counts, or tool budgets. MRCR context lengths and needle count are also unspecified. We keep Banking separate from Telecom reports and BrowseComp+ separate from original BrowseComp. The SWE-Bench Atlas task split is unnamed, so its 51.08 is not mapped to a specific Atlas benchmark.

Launch pricing is half the standard rate

The first-party models page lists launch rates of $0.10/M input, $0.01/M cached input, and $0.35/M output. Standard rates are $0.20, $0.02, and $0.70 respectively. Inception states no promotion end date.

The models page demonstrates mercury-3 in an OpenAI-compatible chat-completions request. The launch also announces OpenRouter, Baseten, and Vercel access. The public OpenRouter model list had not listed the exact route when we checked on October 19, 2026.

The speed figure is a provider claim

Inception reports 1,068 output tokens per second on NVIDIA GPUs. That figure does not establish time to first token or full application latency. We keep it separate from independent runtime measurements and do not inherit Mercury 2.5 measurements.

Last updated October 19, 2026. Runtime fields remain blank until a sourced snapshot exists.

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