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Model profile

Mercury 2

InceptionCurrentReleased Mar 1, 2026
Data verified
Overall Score
Coming soon
Arena Elo
1347
Eligible category ranks
0of 8
Price (1M tokens)
$0.25 in / $0.75 out
API pricing
Speed
789tok/s
Context
128K

Evidence coverage

0 of 323 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
0 / 323
Verified
0
Provisional
0
Categories with evidence
0 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
ProprietaryReasoning
Confidence:
Low
base

BenchLM is tracking Mercury 2, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

Mercury 2 is a proprietary model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

This profile does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 50.9751.67

  1. DeepSeek-R1
    DeepSeek
    #10351.67
    DeepSeek-R1 is #103 with a score of 51.67.
    Compare
  2. Qwen3.6-35B-A3B
    Alibaba
    #10451.47
    Qwen3.6-35B-A3B is #104 with a score of 51.47.
    Compare
  3. Mercury 2Current model
    Inception
    #10551.28
    Mercury 2 is #105 with a score of 51.28.
  4. GLM-4.7-Flash
    Z.AI
    #10651.25
    GLM-4.7-Flash is #106 with a score of 51.25.
    Compare
  5. Grok 4.1 Fast
    xAI
    #10751.25
    Grok 4.1 Fast is #107 with a score of 51.25.
    Compare
  6. GPT-4.1
    OpenAI
    #10851.11
    GPT-4.1 is #108 with a score of 51.11.
    Compare
  7. Nemotron 3 Super 120B A12B
    NVIDIA
    #10950.97
    Nemotron 3 Super 120B A12B is #109 with a score of 50.97.
    Compare

Benchmark data coming soon

BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1347±10.63,118
Coding1397±20.8770
Instruction Following1323±20.1837
Creative Writing1299±26.5528
Multi-turn1344±25.5538
Hard Prompts1359±13.81,760
Hard Prompts (English)1372±19.7862
Longer Query1324±20.4842

Frequently Asked Questions

How does Mercury 2 perform overall in AI benchmarks?

We are tracking Mercury 2, but sourced benchmark coverage is still coming soon. The profile lists only the model metadata that has a verified public source.

Does Mercury 2 have full benchmark coverage on BenchLM?

Not yet. Mercury 2 currently has 0 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Mercury 2?

Mercury 2 has a published context window of 128K, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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