Google's most capable model — a top-tier reasoning and coding powerhouse with an unmatched context window, held back only by its preview status and output cost.
93
Coding
80
Writing
91
Research
20
Images
52
Value
97
Long Context
Use this when
Complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.
Skip this if
You need fast, low-latency responses for real-time applications, or if your workload generates high output token volume that would make the $10/1M output cost prohibitive.
Pricing
$1.25/1M in
$10.00/1M out
→0%since May 2026
Context
1.0M tokens
Speed
Deliberate
This is a preview model (06-05 date suffix indicates a versioned snapshot); Google may deprecate or modify it before a stable GA release. Pricing tiers differ based on prompt length — prompts over 200K tokens are charged at $2.50/1M input and $15/1M output, significantly increasing cost for very long-context use cases.
Industry-leading 1M token context window — can process entire codebases or book-length documents in a single pass
Exceptional performance on coding benchmarks, competitive with Claude Sonnet 4.6 and GPT-5.4 on HumanEval and SWE-bench
Strong multi-step reasoning with chain-of-thought capabilities, particularly on math and science tasks
Relatively affordable input pricing at $1.25/1M tokens for a frontier-class model
Weaknesses
Output cost at $10/1M tokens adds up quickly for verbose or long-form generation tasks
Preview status means behavior and availability may change without notice before stable release
Deliberate latency makes it poorly suited for real-time or latency-sensitive applications
Real-world use cases
What people actually use Gemini 2.5 Pro Preview 06-05 for.
Analyzing an entire Node.js monorepo to identify architectural inconsistencies and suggest refactors
Synthesizing findings across 50+ research papers uploaded in a single context window
Debugging a complex multi-file Python data pipeline with interdependent modules
How Gemini 2.5 Pro Preview 06-05 compares
The nearest models people weigh against it, and what actually separates them.
vs Claude 3.5 Sonnet — Against Claude 3.5 Sonnet (Anthropic), Gemini 2.5 Pro Preview 06-05 runs about 69% cheaper per token, takes 5.2x the context and answers slower. Which one wins depends on whether context depth or latency is your constraint.
vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), Gemini 2.5 Pro Preview 06-05 runs about 81% cheaper per token and takes 1x the context. Take Gemini 2.5 Pro Preview 06-05 unless you specifically need what Claude Fable 5 does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), Gemini 2.5 Pro Preview 06-05 runs about 81% cheaper per token and takes 1x the context. Take Gemini 2.5 Pro Preview 06-05 unless you specifically need what Claude Fable 5.1 does better.
Price History
Gemini 2.5 Pro Preview 06-05 pricing over time
→0% since May 30
90 data points · tracked daily since May 30, 2026
Ready to try it?
Start using Gemini 2.5 Pro Preview 06-05
Complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.. Start free — no card required.
Claude 3.5 Sonnet is Anthropic's mid-cycle flagship model, balancing strong reasoning, coding, and instruction-following with a 200K context window. It sits between Haiku and Opus in Anthropic's lineup, offering near-flagship quality at a lower cost than top-tier models.
Verdict
One of the best models for coding and complex instruction-following, but its premium pricing demands premium use cases.
Quality score
81%
Pricing
$6.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
200k tokens
Pricing at $6 input / $30 output per million tokens is significantly higher than GPT-4o ($2.50/$10). Best accessed via Anthropic API or Amazon Bedrock. Claude 3.5 Sonnet (October 2024 version) supersedes the June 2024 release with improved performance.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
Verdict
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Coding leaderSWE-Bench Pro #1Mythos-classParallel subagentsAgenticLong contextPremiumNew
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
Verdict
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1M tokens
Released September 1, 2026 alongside Claude Mythos 5.1, the first update to the Mythos-class line since Fable 5 on June 9. API ID claude-fable-5-1; generally available on the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Published launch numbers (Fable 5.1 / Fable 5 / Opus 5 / GPT-5.6 Sol): Terminal-Bench-Science 0.1 52.6 / 24.7 / 29.0 / 22.4; Terminal-Bench 4.0 55.8 / 42.0 / 52.3 / 37.3; CursorBench 3.2.0 73.4 / 70.5 / 70.0 / 67.2; AutomationBench 31.4 / 17.1 / 26.9 / 19.6; OSWorld 2.0 strict 41.7 / 36.1 / 39.6; Humanity's Last Exam (no tools) 60.9 / 57.8 / 56.6; GDPval-AA v2 1853 / 1723 / 1824 / 1711. GDPval-AA v2 is rescaled from the v1 numbers quoted on the Fable 5 page and is not directly comparable to them.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Google: Gemini 2.5 Pro Preview 06-05 — added to UseRightAI
Google: Gemini 2.5 Pro Preview 06-05 (Google) is now indexed. Google's most capable model — a top-tier reasoning and coding powerhouse with an unmatched context window, held back only by its preview status and output cost.
Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $32.50 at list price, before any batch or caching discounts.
What is Gemini 2.5 Pro Preview 06-05 best for?
Gemini 2.5 Pro Preview 06-05 is best for complex multi-step reasoning, large codebase analysis, and tasks requiring deep synthesis across very long documents.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and deliberate speed.
When should I avoid Gemini 2.5 Pro Preview 06-05?
You need fast, low-latency responses for real-time applications, or if your workload generates high output token volume that would make the $10/1M output cost prohibitive.
What is a cheaper alternative to Gemini 2.5 Pro Preview 06-05?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against Gemini 2.5 Pro Preview 06-05's $1.25/1M/1M. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if Gemini 2.5 Pro Preview 06-05's pricing is the thing stopping you.
What is a faster alternative to Gemini 2.5 Pro Preview 06-05?
Claude 3.5 Sonnet — balanced against Gemini 2.5 Pro Preview 06-05's deliberate, with 200k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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