Gemini 2.5 Pro

GA

by Google · Gemini 2.5 family · best for cost-effective long-context Pro

Long-ContextMultimodalReasoning
7.6
AI Panel Score
Value 7.5/10

Gemini 2.5 Pro is the model that put Google back at the AI frontier in 2025: GA on 2025-06-17, it paired strong reasoning, coding, and math with a genuinely usable 1M-token context and full multimodal input, and held the top LMArena spot for months. As of 2026-05-28 it remains GA and well-supported alongside the Gemini 3 family, repositioned as the cost-effective "still-frontier" option — meaningfully cheaper at the input tier ($1.25 vs $2.00) than Gemini 3.1 Pro. For a buyer: it's the right pick when 1M-context analysis is the deciding factor and you don't need 3.1 Pro's reasoning leap. - Provider: Google (DeepMind) - Released: 2025-06-17 (GA); still GA in May 2026 - Status: GA - Context window: 1,048,576 tokens (1M) - Max output: 65,536 tokens - Modalities: text, image, audio, video in; text out - Knowledge cutoff: January 2025 - Headline price: $1.25 in / $10.00 out per 1M tokens (<=200K prompt)

What's new

  • Introduced Google's adaptive "thinking" capability for complex reasoning and coding.
  • First Gemini Pro with a fully usable 1M-token context across modalities.
  • GPQA Diamond 84.0%, AIME 2025 86.7% — major reasoning gains over Gemini 1.5 Pro.
  • Held the LMArena top spot through much of 2025; later previews rose to ~1470 Elo.
  • Native multimodal input including audio and video.

Benchmarks

BenchmarkScoreSource
AIME 202586.7%aiwiki.ai 2025
LMArena Elo1470clickrank.ai 2026
GPQA Diamond84%rdworldonline.com 2025
LiveCodeBench70.4%artificialanalysis.ai 2025
SWE-bench Verified63.8%aiwiki.ai 2025
Artificial Analysis Index35artificialanalysis.ai 2026-05-28T00:00:00.000Z

AI Panel Review

Six personas, six verdicts — the same panel that reviews every product on TopReviewed.

Decision Maker8/10
Still a credible production choice — but the clock is ticking as Google steers everyone to Gemini 3.

2.5 Pro is GA, well-supported on Vertex with the family's broadest regional footprint, and noticeably cheaper at the input tier than 3.1 Pro. For workloads that don't tax pure reasoning, it's fine and saves money on input-heavy traffic. Governance and Workspace integration match newer models. The strategic risk is legacy drift: Google is clearly steering users to Gemini 3.x, so expect deprecation conversations within ~12 months. For a CTO, the question is whether to stay (cost, stability) or migrate to 3.1 Pro (reasoning) or 3.5 Flash (speed/agents).

Strategic Fit 8Vendor Risk 7Roadmap Confidence 7
Pros
  • GA, cheaper input, mature tooling, broad regions
Cons
  • Superseded on benchmarks
  • deprecation risk
Right for: Cost-sensitive long-context workloads already on 2.5
Avoid if: You're starting fresh and want the current frontier
Domain Strategist7.5/10
Yesterday's frontier, today's value tier — it competes on price and long-context maturity, not leaderboard wins.

Strategically, 2.5 Pro has moved from frontier to the value/long-context segment. Its competitive position rests on cheaper input than 3.1 Pro plus the most mature 1M-context tooling in Google's line — not on benchmark leadership, which it has ceded. Differentiation now is "good-enough frontier at a discount," a defensible niche while it lasts. Market timing works against it: Google's messaging actively promotes Gemini 3.x, so the window for new adoption is narrowing. Best positioned for incumbents extending existing 2.5 deployments rather than net-new buyers.

Competitive Positioning 7Differentiation 7Market Timing 6
Pros
  • Cheaper input, mature long-context, stable
Cons
  • Ceded benchmark leadership
  • shrinking adoption window
Right for: Incumbents extending 2.5 deployments
Avoid if: You want a model with upward roadmap momentum
Finance Lead8/10
Cheapest input in the Pro class at $1.25 — for RAG-heavy pipelines that's a real 40% saving vs 3.1 Pro.

At $1.25 input under 200K, 2.5 Pro is the cheapest input price in Google's Pro class — meaningfully under 3.1 Pro's $2.00, with comparable output ($10 vs $12). For input-heavy pipelines (RAG, document QA) that can mean ~40% lower cost per call. Caching ($0.125) and batch (~50%) compound the savings. The over-200K cliff to $2.50/$15 mirrors 3.1 Pro's shape. Free AI Studio tier covers prototyping. The forward finance question is how long this pricing holds before Google sunsets it — budget a migration re-evaluation within the year.

Cost Efficiency 9Pricing Transparency 8Value per Dollar 8
Pros
  • Cheapest Pro-class input, clean discounts, predictable
Cons
  • 200K cliff
  • pricing longevity uncertain
Right for: Input-heavy RAG/document pipelines
Avoid if: You need long-term pricing certainty on a non-legacy model
Domain Practitioner8/10
The most battle-tested surface in the family — function calling, structured output, and 1M context all just work.

For builders, 2.5 Pro's developer surface is the most mature in the Gemini line: function calling, structured output via response schemas, code execution, and Search grounding are all stable and well-documented. The 1M context is real and well-tuned, often the best in-family for reliable long-document retrieval. SDK ergonomics are identical to 3.1 Pro, so migration is a model-name swap if needed. The limit is coding horsepower — for serious coding agents, 3.5 Flash or 3.1 Pro is the better engine. For analysis-heavy and long-document use cases, 2.5 Pro still feels great.

API Ergonomics 8Tool/Agent Support 8Reliability 9
Pros
  • Most mature surface, reliable long-context, stable tooling
Cons
  • Coding no longer frontier
Right for: Long-document and analysis builders
Avoid if: You need top-tier coding-agent performance
Power User7.5/10
Helpful and factual, occasionally slow — but most of the app has already moved past it to Gemini 3.

2.5 Pro powered Gemini Advanced through most of 2025 and still appears in the Gemini app rotation. Everyday experience is solid: helpful, factual, with strong long-document handling, though long-thinking modes can feel slow. Conversation quality and refusals are slightly more cautious than 3.1 Pro. The 2026 UX overhaul applies to all backends, so the app feels modern regardless. In practice, most consumer-facing surfaces now default to 3.1 Pro, so 2.5 Pro is increasingly an underlying option rather than the headline model users consciously choose.

Output Quality 8Speed 7Everyday Usefulness 7.5
Pros
  • Helpful, factual, strong long-document
Cons
  • Slower on thinking
  • no longer the default
Right for: Users on long-context tasks who don't need the latest
Avoid if: You want the current flagship experience
Skeptic7/10
A fine 2025 model wearing a 2026 price tag — every benchmark it once led has since been beaten by its own successor.

2.5 Pro is genuinely good, but the case for choosing it new in mid-2026 is thin. Its headline 2025 wins (GPQA 84.0%, AIME 86.7%, LMArena #1) have all been surpassed by 3.1 Pro, and its coding (SWE-bench 63.8%) was never frontier. The "still-frontier value" framing is half-true: the input discount is real, but the over-200K cliff erases it on the long-context workloads it's pitched for. Several of its commonly cited numbers (MMLU-Pro ~87%, MMMU high-70s) lack a single authoritative source. It's a competent legacy model, not a current contender — buy it for inertia or input price, not capability.

Claim Accuracy 7Weakness Severity 6Hype vs Reality 7
Pros
  • Genuinely capable, cheap input
Cons
  • Superseded across the board
  • weakly sourced extras
  • 200K cliff
Right for: Skeptics extending existing deployments on price
Avoid if: You're choosing a model new for its capability

Strengths

  • Real, mature 1M context with reliable long-context retrieval.
  • Strong math and science reasoning (AIME 2025 86.7%, GPQA 84.0%).
  • Cheaper input than 3.1 Pro ($1.25 vs $2.00) — meaningful for input-heavy RAG.
  • Multimodal input parity with the rest of the Gemini line.
  • Broadest regional availability and most mature Vertex tooling in the family.

Limitations

  • Superseded by Gemini 3.1 Pro on every published reasoning benchmark.
  • Coding (SWE-bench 63.8%, LiveCodeBench 70.4%) trails current frontier.
  • Over-200K tier ($2.50/$15) erodes the cost advantage on long-context workloads.
  • January 2025 knowledge cutoff — no recency advantage over newer Gemini.
  • Older, more cautious safety stack; refusal patterns stricter than 3.x in some cases.
  • Likely to enter deprecation conversations within ~12 months as Google steers users to Gemini 3.

Best use cases

- Long-document analysis and Q&A where 1M context is the deciding factor. - Multimodal pipelines combining PDFs, images, audio, and short video. - Teams that standardized on 2.5 Pro in 2025 and don't need 3.1 Pro's reasoning gains. - Cost-sensitive frontier workloads where the input-price gap vs 3.1 Pro matters. - Educational and research assistants leveraging GPQA/AIME-class reasoning.

Buyer questions

Is 2.5 Pro still supported in 2026?

Yes — it remains GA with no announced deprecation date as of 2026-05-28, supported alongside the Gemini 3 family. Expect deprecation conversations within ~12 months as Google promotes Gemini 3.x.

Why pick it over 3.1 Pro?

Cheaper input ($1.25 vs $2.00) for input-heavy RAG/document workloads, broadest regional availability, and the most mature long-context tooling. Choose 3.1 Pro when reasoning matters.

What does long context cost?

Prompts over 200K bill at $2.50 input / $15.00 output per 1M (vs $1.25/$10 under 200K), which erodes the input-price advantage on very long prompts.

Does Google train on my data?

No for paid API and Vertex; the free AI Studio tier may. Opt-out available.

Is coding good enough?

It was strong at launch (SWE-bench 63.8%) but is no longer frontier. Use 3.5 Flash or 3.1 Pro for serious coding agents.

Can I self-host?

No. Gemini is closed-weights, API/Vertex only.

Comparable models

**Gemini 3.1 Pro** — Direct successor; stronger on every reasoning benchmark (GPQA 94.3% vs 84.0%); ~60% more expensive input. Migrate up for reasoning, stay for input cost.
**Gemini 3.5 Flash** — Cheaper per output, ~4x faster, and far stronger on agentic/coding tasks; the sideways move for agent and coding workloads.
**Claude Sonnet 4.5 / 4.6** — Better creative tone and edges coding; weaker long-context cost and no Search grounding. (Note: Gemini 2.0 Pro/Flash predecessors reach EOL 2026-06-01; 2.5 Pro itself has no deprecation date yet but sits a generation behind.)

Model specs

Input price
$1.25 / Mtok
Output price
$10 / Mtok
Cached input
$0.13 / Mtok
Batch (in/out)
$0.63 / $5
Context window
1.0M tokens
Max output
66K tokens
Knowledge cutoff
2025-01
Released
2025-06-16
Modalities
text, image, audio, video → text
Output speed
~144.1 tok/s
License
Proprietary
Clouds
Vertex AI, GCP

Does not train on API inputs by default

Last verified 2026-05-27