Compare models
Choose two or three models. Copy the URL to share your selection.
| Comparison | Gemini 3.6 Flashgemini-3.6-flash | Choose model 2 |
|---|---|---|
| Type | Chat | — |
| Best for | Fast, low-cost replies and high-volume everyday tasks | — |
| TokenRex price | $0.75 in / $3.75 out per 1M tokens | — |
| Cached input / 1M tokens | $0.075 per 1M tokens | — |
| Cache write / 1M tokens | No extra fee | — |
| Cached output | Not offered · standard output rate applies | — |
| Market price | $0.75 in / $3.75 out per 1M tokens | — |
| Context window (provider) | Not applicable | — |
| Input token limit (provider) | 1,048,576 tokens | — |
| Maximum output | 65,536 tokens | — |
| Vendor input modalities | Not verified | — |
| Vendor output modalities | Not verified | — |
| TokenRex endpoints | POST /v1/chat/completions | — |
| Benchmarks | ||
| Benchmark evidence | 6 source-linked results | — |
| SWE-Bench Pro | 58.7% Google model-card self-reported score at GA launch, July 21, 2026. Published source text: Model card reports SWE-Bench Pro 58.7%, DeepSWE v1.1 49%, GDPval-AA v2 Elo 1421, and GDM-MRCR v2 91.8% at 128k Wait Which Model – Gemini 3.6 Flash (citing Google model card) | — |
| DeepSWE v1.1 | 49% DeepSWE v1.1 (Datacurve public leaderboard, highest-scoring thinking level), per Google model card, July 2026 launch. Published source text: in some benchmarks like DeepSWE by Datacurve, we observe up to 65%... all at a lower cost Google Blog – Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber | — |
| GDM-MRCR v2 (128k) | 91.8% Google model-card self-reported score, 128k-token cumulative setting, July 2026 launch. Published source text: GDM-MRCR v2 91.8% at 128k Wait Which Model – Gemini 3.6 Flash (citing Google model card) | — |
| OSWorld-Verified (computer use) | 83% Reported from official model card/Google launch materials, July 2026. Published source text: Leads on computer use (83.0% OSWorld-Verified) Awesome Agents – Gemini 3.6 Flash | — |
| FrontierCode v1.1 (Extended) | 48.02% Cognition FrontierCode 1.1; Gemini 3.6 Flash; medium effort; chisel harness; Extended subset (150 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.4802. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget. Cognition · FrontierCode 1.1 original leaderboard | — |
| FrontierCode v1.1 (Main) | 34.37% Cognition FrontierCode 1.1; Gemini 3.6 Flash; medium effort; chisel harness; Main subset (100 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.3437. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget. Cognition · FrontierCode 1.1 original leaderboard | — |
No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.
— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.
Gemini 3.6 Flash
Sources and verification
Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.
- Provider model specifications
Vendor-reported
Last checked - Wait Which Model – Gemini 3.6 Flash (citing Google model card)
Third-party report
Last checked - Google Blog – Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
Vendor-reported
Last checked - Awesome Agents – Gemini 3.6 Flash
Third-party report
Last checked - Cognition · FrontierCode 1.1 original leaderboard
Third-party report
Last checked
Research notes (1)
- Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.
Popular comparisons
- GPT-6 Sol vs Claude Opus 5.5
- GPT-6 Sol vs Gemini 4 Argon
- Claude Opus 5.5 vs Gemini 4 Argon
- GPT-6.1 Sol vs GPT-6 Sol
- GPT-6 Astra vs Claude Sonnet 5
- GPT-6 Astra vs Gemini 3.1 Pro
- Claude Sonnet 5 vs Gemini 3.1 Pro
- Claude Opus 5.5 vs Claude Sonnet 5
- GPT-5.5 vs Claude Sonnet 5
- GPT-5.5 vs Gemini 2.5 Pro
- GPT-5 vs Gemini 2.5 Pro
- GPT-6 Luna vs Gemini 3.8 Flash
- Claude Haiku 4.5 vs Gemini 3.8 Flash
- GPT-5 Mini vs Gemini 2.5 Flash
- GPT-5 Nano vs Gemini 2.5 Flash Lite
- GPT-5.4 Mini vs Claude Haiku 4.5